Small and medium-sized enterprises (SMEs) are an important part of the national economic system, which can promote employment, improve people's living standards, and promote economic development and technological innovation. In the new business environment based on big data and artificial intelligence, it is a key issue for SMEs to flexibly use big data services, design competitive marketing strategies, and achieve efficient market management. This paper will explore the impact of marketing environment changes on SMEs in the era of big data, and improve the marketing efficiency of SMEs by establishing relevant models based on big data analysis.
{"title":"Promotion of Marketing Efficiency of SMEs Based on Big Data","authors":"Xuebing Guo, Kexin Yuan","doi":"10.1145/3448748.3448787","DOIUrl":"https://doi.org/10.1145/3448748.3448787","url":null,"abstract":"Small and medium-sized enterprises (SMEs) are an important part of the national economic system, which can promote employment, improve people's living standards, and promote economic development and technological innovation. In the new business environment based on big data and artificial intelligence, it is a key issue for SMEs to flexibly use big data services, design competitive marketing strategies, and achieve efficient market management. This paper will explore the impact of marketing environment changes on SMEs in the era of big data, and improve the marketing efficiency of SMEs by establishing relevant models based on big data analysis.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115517693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, the technology of identity authentication based on biometrics is constantly improving and maturing. Due to the unique advantages of long-distance and multi equipment data acquisition, voiceprint recognition has been gradually commercialized in the past fifty years. However, the traditional voiceprint recognition method will reduce the model performance under the condition of large-scale data. In view of the above problem, this paper mainly studies text independent speaker verification system, using Mel Frequency Cepstrum Coefficient (MFCC) as speech feature parameter based on deep neural network (DNN). Compared with the traditional neural network, this method has the fast-learning ability of the network weight and high recognition rate. In this experiment, different speed speech is added to the training, which improves the recognition accuracy, and promotes the robustness of the model.
{"title":"Research on Voiceprint Recognition Technology Based on Deep Neural Network","authors":"Zinan Li, Y. Li, Wei Xiong, Min Chen, Y. Li","doi":"10.1145/3448748.3448812","DOIUrl":"https://doi.org/10.1145/3448748.3448812","url":null,"abstract":"In recent years, the technology of identity authentication based on biometrics is constantly improving and maturing. Due to the unique advantages of long-distance and multi equipment data acquisition, voiceprint recognition has been gradually commercialized in the past fifty years. However, the traditional voiceprint recognition method will reduce the model performance under the condition of large-scale data. In view of the above problem, this paper mainly studies text independent speaker verification system, using Mel Frequency Cepstrum Coefficient (MFCC) as speech feature parameter based on deep neural network (DNN). Compared with the traditional neural network, this method has the fast-learning ability of the network weight and high recognition rate. In this experiment, different speed speech is added to the training, which improves the recognition accuracy, and promotes the robustness of the model.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124637821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Primary hepatocellular carcinoma (HCC) is is a complex malignant tumor with high mortality. To explore the pathogenesis of HCC, Based on the GEO database, bioinformatics analysis was carried out based on the GEO database in this study. Methods: The gene expression datasets: GSE121248 were downloaded from the GEO database for bioinformatics analysis. Geo 2R was used to identify differentially expressed genes (DEGs) with the predefined criterion (P < 0.05 and | log FC| ≥ 1). STRING construct protein-protein interaction network, and identify hubgenes by Cyto-Hubba plug-in in Cytoscape, MCODE algorithm was employed to detect the PPI network. Then Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used for DEGs using DAVID and metascape. Results: From the GSE121248 database, the research obtained 1324 DEGs (423 were up-regulated and 901 were down-regulated). Through Cyto_Hubba plug-in in Cytoscape software, we identified 7 hub genes: CCNA2, CCNB1, CDK1, MAD2L1, TOP2A, RRM2, NDC80, of which TOP2A is at the core. Enrichment analysis showed that the main functions of DEGs are concentrated in negative regulation of apoptosis process, mitotic spindle, mitotic spindle, chromatin binding, and progesterone-mediated oocyte maturation. In the analysis of the KEGG pathway, they are mainly rich cell cycle, p53 signal pathway and Oocyte meiosis. Conclusion: The occurrence of hepatocellular carcinoma is the result of the joint action of many genes based on geo-informatics data mining through GEO database.
{"title":"Study on Differential Expression Genes in HCC Based on GEO Database","authors":"Yani Zhao, Yongfang Xie","doi":"10.1145/3448748.3448759","DOIUrl":"https://doi.org/10.1145/3448748.3448759","url":null,"abstract":"Background: Primary hepatocellular carcinoma (HCC) is is a complex malignant tumor with high mortality. To explore the pathogenesis of HCC, Based on the GEO database, bioinformatics analysis was carried out based on the GEO database in this study. Methods: The gene expression datasets: GSE121248 were downloaded from the GEO database for bioinformatics analysis. Geo 2R was used to identify differentially expressed genes (DEGs) with the predefined criterion (P < 0.05 and | log FC| ≥ 1). STRING construct protein-protein interaction network, and identify hubgenes by Cyto-Hubba plug-in in Cytoscape, MCODE algorithm was employed to detect the PPI network. Then Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used for DEGs using DAVID and metascape. Results: From the GSE121248 database, the research obtained 1324 DEGs (423 were up-regulated and 901 were down-regulated). Through Cyto_Hubba plug-in in Cytoscape software, we identified 7 hub genes: CCNA2, CCNB1, CDK1, MAD2L1, TOP2A, RRM2, NDC80, of which TOP2A is at the core. Enrichment analysis showed that the main functions of DEGs are concentrated in negative regulation of apoptosis process, mitotic spindle, mitotic spindle, chromatin binding, and progesterone-mediated oocyte maturation. In the analysis of the KEGG pathway, they are mainly rich cell cycle, p53 signal pathway and Oocyte meiosis. Conclusion: The occurrence of hepatocellular carcinoma is the result of the joint action of many genes based on geo-informatics data mining through GEO database.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115898645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the traditional overseas warehouse location model, there is a lack of balance between the factors that affect warehouse location, resulting in a lower location satisfaction degree. For this reason, a model design of cross-border e-commerce overseas warehouse location selection based on game theory is proposed. First, it is necessary to set the operating mode of overseas warehouses, and determine the cost calculation plan and influencing factors. Secondly, the Nash equilibrium in game theory is used to balance the influencing factors. Finally, the realization mechanism of the two algorithms is described, and the specific model algorithm realization process is given. In order to verify the feasibility of the designed overseas warehouse location model, the design model and traditional model are used to select the location of overseas warehouses based on a company's survey data. The site selection results prove that the design model takes more factors into consideration in the site selection of cross-border e-commerce overseas warehouses, which results in higher satisfaction, and the model's operating efficiency is higher, which proves the feasibility of the model.
{"title":"Model Design of Cross-border E-commerce Overseas Warehouse Location Selection Based on Game Theory","authors":"Xin Guan, Huiying Zhou, Liyun Zhang, Xiaomei Guo, Shufang Xie","doi":"10.1145/3448748.3448784","DOIUrl":"https://doi.org/10.1145/3448748.3448784","url":null,"abstract":"In the traditional overseas warehouse location model, there is a lack of balance between the factors that affect warehouse location, resulting in a lower location satisfaction degree. For this reason, a model design of cross-border e-commerce overseas warehouse location selection based on game theory is proposed. First, it is necessary to set the operating mode of overseas warehouses, and determine the cost calculation plan and influencing factors. Secondly, the Nash equilibrium in game theory is used to balance the influencing factors. Finally, the realization mechanism of the two algorithms is described, and the specific model algorithm realization process is given. In order to verify the feasibility of the designed overseas warehouse location model, the design model and traditional model are used to select the location of overseas warehouses based on a company's survey data. The site selection results prove that the design model takes more factors into consideration in the site selection of cross-border e-commerce overseas warehouses, which results in higher satisfaction, and the model's operating efficiency is higher, which proves the feasibility of the model.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123056760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Populus euphratica Oliv. is a typical desert plant. The heteromorphic leaves of P. euphratica at different growth stages is a crucial apparent characteristic of P. euphratica, which can help itself adapt to the harsh growth environment. In this study, four-leaf shapes young leaves of P. euphratica were used as materials. 2-DE (two-dimensional electrophoresis) was used to screen and identify four critical proteins related to heteromorphic leaf formation from poplar and P. euphratica protein databases based on leaf shape index change. It was found that ATP synthase and HSP 70 were consistent with their mRNA expression levels, while OEE1 and Rubisco activatase were negatively correlated with their mRNA expression levels. Based on our experimental results and bioinformatics analysis, it is speculated that ATP synthase can change the morphology of cells by promoting the vertical growth of cells and then cause changes in leaf traits; HSP 70 affected by ABA affects the occurrence of heteromorphic leaves by regulating programmed cell death; OEE1 content increases gradually with the increase of leaf area to cope with environmental changes such as light and salt stress; however, the expression of OEE1 mRNA was opposite, which indicated that there might be some post-transcriptional regulation mode which promoted the accumulation of OEE1. By identifying proteins related to the occurrence of heteromorphic leaves of P. euphratica and transcriptome correlation analysis, the protein and mRNA levels were preliminarily studied, which provided a new theoretical basis for the molecular mechanism of heteromorphic leaves of P. euphratica.
{"title":"Protein identification and expression regulation mechanism of heterotypic leaves formation in Populus euphratica Oliv.","authors":"Haizhu Wu, Shaowei Qin, Cailin Li, Weiwei Yan, Jianping Zhang, Lifeng Zhao","doi":"10.1145/3448748.3448763","DOIUrl":"https://doi.org/10.1145/3448748.3448763","url":null,"abstract":"Populus euphratica Oliv. is a typical desert plant. The heteromorphic leaves of P. euphratica at different growth stages is a crucial apparent characteristic of P. euphratica, which can help itself adapt to the harsh growth environment. In this study, four-leaf shapes young leaves of P. euphratica were used as materials. 2-DE (two-dimensional electrophoresis) was used to screen and identify four critical proteins related to heteromorphic leaf formation from poplar and P. euphratica protein databases based on leaf shape index change. It was found that ATP synthase and HSP 70 were consistent with their mRNA expression levels, while OEE1 and Rubisco activatase were negatively correlated with their mRNA expression levels. Based on our experimental results and bioinformatics analysis, it is speculated that ATP synthase can change the morphology of cells by promoting the vertical growth of cells and then cause changes in leaf traits; HSP 70 affected by ABA affects the occurrence of heteromorphic leaves by regulating programmed cell death; OEE1 content increases gradually with the increase of leaf area to cope with environmental changes such as light and salt stress; however, the expression of OEE1 mRNA was opposite, which indicated that there might be some post-transcriptional regulation mode which promoted the accumulation of OEE1. By identifying proteins related to the occurrence of heteromorphic leaves of P. euphratica and transcriptome correlation analysis, the protein and mRNA levels were preliminarily studied, which provided a new theoretical basis for the molecular mechanism of heteromorphic leaves of P. euphratica.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129458323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
DNA technology has made remarkable progress since 1980. Among them, capillary electrophoresis based on Sanger biochemical detection of polychromatic fluorescent DNA sequencing method is widely used. This method uses fluorescence imaging technology for base recognition, and the recognition results play an important role in forensic DNA identification, individual identification, genetic identification, disaster identification and other fields. It is one of the key technologies for forensic DNA data analysis to analyze the fragments of fluorescent labeled DNA sequencing results. Fragment analysis includes peak recognition algorithm design, determination of DNA fragment interval algorithm design, allelic ladder typing algorithm design and DNA sample STR typing algorithm design. In this paper, through the above four steps of data processing, the analysis of DNA fragments is conducive to enrich the DNA laboratory information management information system, and lay the foundation for the localization and integration of DNA detection technology platform.
{"title":"Data Processing in DNA Profiling","authors":"Tianli Guo, Tao Zhang, Chuan Jin","doi":"10.1145/3448748.3448785","DOIUrl":"https://doi.org/10.1145/3448748.3448785","url":null,"abstract":"DNA technology has made remarkable progress since 1980. Among them, capillary electrophoresis based on Sanger biochemical detection of polychromatic fluorescent DNA sequencing method is widely used. This method uses fluorescence imaging technology for base recognition, and the recognition results play an important role in forensic DNA identification, individual identification, genetic identification, disaster identification and other fields. It is one of the key technologies for forensic DNA data analysis to analyze the fragments of fluorescent labeled DNA sequencing results. Fragment analysis includes peak recognition algorithm design, determination of DNA fragment interval algorithm design, allelic ladder typing algorithm design and DNA sample STR typing algorithm design. In this paper, through the above four steps of data processing, the analysis of DNA fragments is conducive to enrich the DNA laboratory information management information system, and lay the foundation for the localization and integration of DNA detection technology platform.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129756378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuzhen Cheng, Z. C. Cheng, Luoyao Chen, L. C. Chen
Although there is no distinctive header, this is the abstract. This submission template allows authors to submit their papers for review to an ACM Conference or Journal without any output design specifications incorporated at this point in the process. The ACM manuscript template is a single column document that allows authors to type their content into the pre-existing set of paragraph formatting styles applied to the sample placeholder text here. Throughout the document you will find further instructions on how to format your text. If your conference's review process will be double-blind: The submitted document should not include author information and should not include acknowledgments, citations or discussion of related work that would make the authorship apparent. Submissions containing author identifying information may be subject to rejection without review. Upon acceptance, the author and affiliation information must be added to your paper.
{"title":"Recognize global dysregulated mRNA-miRNA pairs across multiple cancer types using differential correlation","authors":"Yuzhen Cheng, Z. C. Cheng, Luoyao Chen, L. C. Chen","doi":"10.1145/3448748.3448991","DOIUrl":"https://doi.org/10.1145/3448748.3448991","url":null,"abstract":"Although there is no distinctive header, this is the abstract. This submission template allows authors to submit their papers for review to an ACM Conference or Journal without any output design specifications incorporated at this point in the process. The ACM manuscript template is a single column document that allows authors to type their content into the pre-existing set of paragraph formatting styles applied to the sample placeholder text here. Throughout the document you will find further instructions on how to format your text. If your conference's review process will be double-blind: The submitted document should not include author information and should not include acknowledgments, citations or discussion of related work that would make the authorship apparent. Submissions containing author identifying information may be subject to rejection without review. Upon acceptance, the author and affiliation information must be added to your paper.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, a new speech driven 3-D geometric tongue model is constructed. The constructed 3-D tongue shape is controlled with control points on 2-D midsagittal tongue curve, and speech-driven inverse estimation based on the constructed model is evaluated by empirical data. X-Ray 2-D vocal tract motion videos are tagged for the midsagittal tongue motion, and static 3-D vocal tracts of 20 phonemes are collected with MRI for the realistic 3-D tongue shape. MFCC are calculated from the videos as acoustic features, and are then used in a LSTM-RNN to predict the control points movement of the tongue shape. Three geometrically intuitive control points are selected to represent and calculate the midsagittal line of the tongue through linear regression. Cross-sections on the central lines of the tongues, whose height, width and angle are then predicted from the midsagittal line, are reconstructed with geometric curves, and the shape of each cross-section are then placed on the midsagittal line to get the overall predicted moving grid of the 3-D tongue. In this 3-D tongue model, acoustic features and realistic tongue motion are mapped directly to preserve more realistic articulatory details, and the control points are intuitive for non-experts to control the model, and the geometric tongue shapes predicted are comparable with realistic tongue dynamics. Based on the proposed method, the speech-driven prediction is evaluated with the realistic data, which proved this proposed method feasible.
{"title":"A Speech-Driven 3-D Tongue Model with Realistic Movement in Mandarin Chinese","authors":"Changwei Liang, Jiangping Kong, Xiyu Wu","doi":"10.1145/3448748.3448796","DOIUrl":"https://doi.org/10.1145/3448748.3448796","url":null,"abstract":"In this paper, a new speech driven 3-D geometric tongue model is constructed. The constructed 3-D tongue shape is controlled with control points on 2-D midsagittal tongue curve, and speech-driven inverse estimation based on the constructed model is evaluated by empirical data. X-Ray 2-D vocal tract motion videos are tagged for the midsagittal tongue motion, and static 3-D vocal tracts of 20 phonemes are collected with MRI for the realistic 3-D tongue shape. MFCC are calculated from the videos as acoustic features, and are then used in a LSTM-RNN to predict the control points movement of the tongue shape. Three geometrically intuitive control points are selected to represent and calculate the midsagittal line of the tongue through linear regression. Cross-sections on the central lines of the tongues, whose height, width and angle are then predicted from the midsagittal line, are reconstructed with geometric curves, and the shape of each cross-section are then placed on the midsagittal line to get the overall predicted moving grid of the 3-D tongue. In this 3-D tongue model, acoustic features and realistic tongue motion are mapped directly to preserve more realistic articulatory details, and the control points are intuitive for non-experts to control the model, and the geometric tongue shapes predicted are comparable with realistic tongue dynamics. Based on the proposed method, the speech-driven prediction is evaluated with the realistic data, which proved this proposed method feasible.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133926520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melanoma is a form of cancer that is a primary cause of skin cancer deaths. A major predictive factor for positive patient outcomes is diagnosis of disease in earlier cancer stages before the disease has spread beyond the initial lesion. However, many patients are diagnosed late because they cannot afford to meet a doctor or are embarrassed to be examined. These patients suffer from a significantly greater rate of mortality. As a remedy, machine learning models have been proposed to enable easy and automated diagnosis using images. However, the development of models for use in a clinical setting is not yet possible due to the limited availability of training data. Training data that is available is often private and thus isolated within individual institutions. Therefore, a large data set containing patients of different ancestries, skin colors, and ages is not available. In this study, we show that the Sonification of images results in a greater proportion of patients' consent to share their data in a public database, and that models trained from Sonified images have similar performance to those trained on raw skin lesion images.
{"title":"Privacy-preserving With Sonification For Training of Convolutional Deep Neural Networks for Melanoma Diagnosis","authors":"Yi Yang","doi":"10.1145/3448748.3448766","DOIUrl":"https://doi.org/10.1145/3448748.3448766","url":null,"abstract":"Melanoma is a form of cancer that is a primary cause of skin cancer deaths. A major predictive factor for positive patient outcomes is diagnosis of disease in earlier cancer stages before the disease has spread beyond the initial lesion. However, many patients are diagnosed late because they cannot afford to meet a doctor or are embarrassed to be examined. These patients suffer from a significantly greater rate of mortality. As a remedy, machine learning models have been proposed to enable easy and automated diagnosis using images. However, the development of models for use in a clinical setting is not yet possible due to the limited availability of training data. Training data that is available is often private and thus isolated within individual institutions. Therefore, a large data set containing patients of different ancestries, skin colors, and ages is not available. In this study, we show that the Sonification of images results in a greater proportion of patients' consent to share their data in a public database, and that models trained from Sonified images have similar performance to those trained on raw skin lesion images.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131593517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Circular RNAs (circRNAs) and long-noncoding RNAs (lncRNAs) are a class of non-protein-coding RNA, in eukaryotic genomes, that participate in the regulation of physiological and pathological processes such as stem cell maintenance, cell differentiation, cell growth, apoptosis, signal transduction, and immune response. In this study, based on RNA-Seq and competing endogenous RNAs hypothesis, 14 circRNAs and 28 lncRNAs, involved in the regulation of salt stress response were screened and identified from the RNA-Seq of Populus euphratica Oliv. heteromorphic leaves (P. hl), and their functions were predicted. We found that these circRNAs and lncRNAs may not only enhance the tolerance of plants to salt stress by participating in biological events such as ion compartmentation, oxidative stress, and cell division in plant cells but also play an important role in the occurrence of P. hl by participating in gene expression regulation, metabolism, and hormone regulation. This study provides theoretical support for studying the regulation mechanism of salt stress response of Populus euphratica Oliv., and lays an important foundation for using Populus euphratica Oliv. gene resources to cultivate new salt-resistant varieties.
{"title":"Regulatory Networks of circRNAs and lncRNAs Related to Salt Stress in Populus euphratica Oliv. heteromorphic leaves","authors":"Weiwei Yan, Shaowei Qin, Haizhu Wu, Cailin Li, Jianping Zhang, Lifeng Zhao","doi":"10.1145/3448748.3448760","DOIUrl":"https://doi.org/10.1145/3448748.3448760","url":null,"abstract":"Circular RNAs (circRNAs) and long-noncoding RNAs (lncRNAs) are a class of non-protein-coding RNA, in eukaryotic genomes, that participate in the regulation of physiological and pathological processes such as stem cell maintenance, cell differentiation, cell growth, apoptosis, signal transduction, and immune response. In this study, based on RNA-Seq and competing endogenous RNAs hypothesis, 14 circRNAs and 28 lncRNAs, involved in the regulation of salt stress response were screened and identified from the RNA-Seq of Populus euphratica Oliv. heteromorphic leaves (P. hl), and their functions were predicted. We found that these circRNAs and lncRNAs may not only enhance the tolerance of plants to salt stress by participating in biological events such as ion compartmentation, oxidative stress, and cell division in plant cells but also play an important role in the occurrence of P. hl by participating in gene expression regulation, metabolism, and hormone regulation. This study provides theoretical support for studying the regulation mechanism of salt stress response of Populus euphratica Oliv., and lays an important foundation for using Populus euphratica Oliv. gene resources to cultivate new salt-resistant varieties.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：