The two main characteristics of venture capital are high risk and participation in management. Risk identification and risk evaluation before investing, risk supervise and control are important process that affect the success of venture investment. First of all, a risk evaluation index system is constructed. Partial correlation analysis is used to explore the indicators that can significantly affect the success of a company's investment, and to provide suggestions for the types of risks that start-ups should focus on controlling during the startup period. Then the principal component analysis method and the Logistic regression analysis method are combined to predict the success rate of investment, which can make up for the deficiency of the Logistic model and improve the prediction accuracy rate. Then use the test set data to calculate the accuracy of the model, and conduct an Omnibus test of the model coefficients to verify the significance of the equation. Then the SE-DEA model is constructed to calculate and compare the efficiency values of enterprises that accept different levels of post-investment services, and test the robustness of the SE-DEA model by adjusting the input and output indicators. Then through the Mann-Whitney U test and analysis, it is concluded that if the post-investment service is to have a good effect, how VC should choose the degree of intervention according to the state of the enterprise. That is to say, which indicators of the enterprise can be optimized by VC intervention in management. Finally, the models are evaluated and future research prospects in related fields are proposed.
{"title":"Research on Big Data Risk Control Model of Venture Capital","authors":"Boao Cui","doi":"10.1145/3448748.3448776","DOIUrl":"https://doi.org/10.1145/3448748.3448776","url":null,"abstract":"The two main characteristics of venture capital are high risk and participation in management. Risk identification and risk evaluation before investing, risk supervise and control are important process that affect the success of venture investment. First of all, a risk evaluation index system is constructed. Partial correlation analysis is used to explore the indicators that can significantly affect the success of a company's investment, and to provide suggestions for the types of risks that start-ups should focus on controlling during the startup period. Then the principal component analysis method and the Logistic regression analysis method are combined to predict the success rate of investment, which can make up for the deficiency of the Logistic model and improve the prediction accuracy rate. Then use the test set data to calculate the accuracy of the model, and conduct an Omnibus test of the model coefficients to verify the significance of the equation. Then the SE-DEA model is constructed to calculate and compare the efficiency values of enterprises that accept different levels of post-investment services, and test the robustness of the SE-DEA model by adjusting the input and output indicators. Then through the Mann-Whitney U test and analysis, it is concluded that if the post-investment service is to have a good effect, how VC should choose the degree of intervention according to the state of the enterprise. That is to say, which indicators of the enterprise can be optimized by VC intervention in management. Finally, the models are evaluated and future research prospects in related fields are proposed.","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":"127725048","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}
At present, with the gradual expansion of the application scope of big data technology, its application frequency in medicine is becoming more and more frequent. The purpose of using medical data for different projects is mainly to reduce the pressure of patients and improve the accuracy. However, the use of medical data has also caused some adverse effects, so this paper will study it from three aspects: source, application and impact.
{"title":"The application and influence of big data in medicine","authors":"Jinghe Zhao","doi":"10.1145/3448748.3448749","DOIUrl":"https://doi.org/10.1145/3448748.3448749","url":null,"abstract":"At present, with the gradual expansion of the application scope of big data technology, its application frequency in medicine is becoming more and more frequent. The purpose of using medical data for different projects is mainly to reduce the pressure of patients and improve the accuracy. However, the use of medical data has also caused some adverse effects, so this paper will study it from three aspects: source, application and impact.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"9 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":"127804483","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 study, we apply GIS to observe the spatiotemporal distribution pattern of settlement in Yunnan and Guizhou plateau from Neolithic to Bronze Age. Based on the published archaeological materials, and combined with the information of natural geographical elements and soil sedimentary in the region, we preliminarily established a database of site distribution patterns in Yunnan-Guizhou area. As can be seen from the spatial distribution pattern of settlements in Yunnan-Guizhou area, from Neolithic to Bronze Age, settlements tended to expand eastward. On one hand, it is the consequence of population increase. On the other hand, it is also the result of culture impulsion, in this area, the Dian culture and Yelang culture have been expanding eastward due to the continuous expansion of western Dian culture. As a result, the eastwards of the settlement is under the effect both from internal and external. Meanwhile, the classification of the area and the transition over time show that the spatial distribution of the settlement is relatively scattered and equal, mainly consist of small-scale settlements, and the scale of settlements began to gradually expand in the Bronze Age. Besides, soil type is also a pivotal factor in terms of the site choice strategies for ancient people, high soil fertility, such as artificial soil, luvisols always related to the cluster of settlement distribution. It indicates that ancient people in Yunnan and Guizhou area had their site choice strategies out of certain considerations, which were profoundly influenced by the natural environment.
{"title":"Analysis on Site Distribution in Yunnan and Guizhou Plateau from Neolithic to the Bronze Age Based on GIS","authors":"Song-Tao Hu","doi":"10.1145/3448748.3448813","DOIUrl":"https://doi.org/10.1145/3448748.3448813","url":null,"abstract":"In this study, we apply GIS to observe the spatiotemporal distribution pattern of settlement in Yunnan and Guizhou plateau from Neolithic to Bronze Age. Based on the published archaeological materials, and combined with the information of natural geographical elements and soil sedimentary in the region, we preliminarily established a database of site distribution patterns in Yunnan-Guizhou area. As can be seen from the spatial distribution pattern of settlements in Yunnan-Guizhou area, from Neolithic to Bronze Age, settlements tended to expand eastward. On one hand, it is the consequence of population increase. On the other hand, it is also the result of culture impulsion, in this area, the Dian culture and Yelang culture have been expanding eastward due to the continuous expansion of western Dian culture. As a result, the eastwards of the settlement is under the effect both from internal and external. Meanwhile, the classification of the area and the transition over time show that the spatial distribution of the settlement is relatively scattered and equal, mainly consist of small-scale settlements, and the scale of settlements began to gradually expand in the Bronze Age. Besides, soil type is also a pivotal factor in terms of the site choice strategies for ancient people, high soil fertility, such as artificial soil, luvisols always related to the cluster of settlement distribution. It indicates that ancient people in Yunnan and Guizhou area had their site choice strategies out of certain considerations, which were profoundly influenced by the natural environment.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"31 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":"128757879","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}
Bo Song, Yan Sun, Junjie Guo, Dan Zhao, Jiayin Tan
Case teaching method emphasizes taking students as the main body, guiding students to think with questions, strengthening the understanding and mastery of the knowledge, and has achieved good teaching effect in medical education. The Microteaching Method records the students' practice process through video equipment to improve the students' learning effect. Conventional case teaching method and Microteaching Method need face-to-face communication between teachers and students, which has the limitations of time and space. As a mobile learning platform, wechat can break through the limitation of teaching time and space, and realize the diversification of teaching methods. Through the beneficial complementation of wechat platform with case teaching method and Microteaching Method, it is found that in the application of laboratory teaching, it not only stimulates students' interest in learning, mobilizes students' learning enthusiasm, but also improves students' autonomous learning ability, comprehensive analysis ability and clinical thinking ability, which is worthy of promotion and application in laboratory practice teaching.
{"title":"Application of case teaching method and Microteaching Method in experimental teaching based on wechat platform","authors":"Bo Song, Yan Sun, Junjie Guo, Dan Zhao, Jiayin Tan","doi":"10.1145/3448748.3448988","DOIUrl":"https://doi.org/10.1145/3448748.3448988","url":null,"abstract":"Case teaching method emphasizes taking students as the main body, guiding students to think with questions, strengthening the understanding and mastery of the knowledge, and has achieved good teaching effect in medical education. The Microteaching Method records the students' practice process through video equipment to improve the students' learning effect. Conventional case teaching method and Microteaching Method need face-to-face communication between teachers and students, which has the limitations of time and space. As a mobile learning platform, wechat can break through the limitation of teaching time and space, and realize the diversification of teaching methods. Through the beneficial complementation of wechat platform with case teaching method and Microteaching Method, it is found that in the application of laboratory teaching, it not only stimulates students' interest in learning, mobilizes students' learning enthusiasm, but also improves students' autonomous learning ability, comprehensive analysis ability and clinical thinking ability, which is worthy of promotion and application in laboratory practice teaching.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"PP 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":"126526668","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}
The security of e-commerce mobile payment is a key issue that needs to be paid attention to when using mobile payment. Improvement of the security performance of e-commerce mobile payment will help promote its use. In order to avoid the risks of e-commerce mobile payment and provide timely warnings, a modeling method using support vector machines and particle swarm algorithm to model and analyze e-commerce mobile payment risks is proposed in this paper. On the basis of ensuring the safety of communication and completing secure wireless transactions, PSO-SVM is used to establis-h a sophisticated risk prediction mechanism to promote the further expansion of the application scope of e-commerce mo-bile payment technology.
{"title":"Risk Prediction in E-commerce Mobile Payment Based on PSO-SVM","authors":"Xin Guan, Shufang Xie, Feng Liu, Haibo Zhao, Zhongyuan Liang","doi":"10.1145/3448748.3448781","DOIUrl":"https://doi.org/10.1145/3448748.3448781","url":null,"abstract":"The security of e-commerce mobile payment is a key issue that needs to be paid attention to when using mobile payment. Improvement of the security performance of e-commerce mobile payment will help promote its use. In order to avoid the risks of e-commerce mobile payment and provide timely warnings, a modeling method using support vector machines and particle swarm algorithm to model and analyze e-commerce mobile payment risks is proposed in this paper. On the basis of ensuring the safety of communication and completing secure wireless transactions, PSO-SVM is used to establis-h a sophisticated risk prediction mechanism to promote the further expansion of the application scope of e-commerce mo-bile payment technology.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"56 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":"124880944","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}
At present, as an important tool to change people's production and life, computers have been widely used in all walks of life, showing broad application prospects. However, at the same time facing severe computer network security issues, the system is often damaged by accidental or malicious factors, and security issues such as data leakage occur, causing serious economic losses and negative social effects. Therefore, in order to create a safe computer network environment and effectively solve network security problems, the article aims to ensure computer network security through research and discussion on data encryption technology, and to further develop computer application security for reference.
{"title":"Application of Data Encryption Technology in Computer Network Security","authors":"Guo Fang","doi":"10.1145/3448748.3448783","DOIUrl":"https://doi.org/10.1145/3448748.3448783","url":null,"abstract":"At present, as an important tool to change people's production and life, computers have been widely used in all walks of life, showing broad application prospects. However, at the same time facing severe computer network security issues, the system is often damaged by accidental or malicious factors, and security issues such as data leakage occur, causing serious economic losses and negative social effects. Therefore, in order to create a safe computer network environment and effectively solve network security problems, the article aims to ensure computer network security through research and discussion on data encryption technology, and to further develop computer application security for reference.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"111 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":"131578288","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}
Zinc fingers are among the most abundant protein motifs and play a pivotal role in cell proliferation, migration, and differentiation. Emerging studies have focused on the zinc finger transcription factors role in related diseases and discovered they are involved in activating oncogenic transcription, HIV reverse transcription, and bacterium infection. Hence, it is important to investigate and understand how zinc finger transcription factors can be selectively inhibited. The aim of this minireview is to describe how Zn Finger inhibition occurs within both a chemical and biological framework. Complexes Synthesis, inhibition mechanism, and selectivity are comprehensively reviewed. Cells utilize phosphorylation and acetylation to self-inhibit the zinc finger transcription factors by adjusting spatial structure and chemical properties. Also, we propose potential regulation sites of post transcription modification, therapeutic treatments and concerns over animal trials.
{"title":"The Inhibition of ZN Finger Transcription Factors","authors":"Tianlai Chen, Zihong Chen","doi":"10.1145/3448748.3448770","DOIUrl":"https://doi.org/10.1145/3448748.3448770","url":null,"abstract":"Zinc fingers are among the most abundant protein motifs and play a pivotal role in cell proliferation, migration, and differentiation. Emerging studies have focused on the zinc finger transcription factors role in related diseases and discovered they are involved in activating oncogenic transcription, HIV reverse transcription, and bacterium infection. Hence, it is important to investigate and understand how zinc finger transcription factors can be selectively inhibited. The aim of this minireview is to describe how Zn Finger inhibition occurs within both a chemical and biological framework. Complexes Synthesis, inhibition mechanism, and selectivity are comprehensively reviewed. Cells utilize phosphorylation and acetylation to self-inhibit the zinc finger transcription factors by adjusting spatial structure and chemical properties. Also, we propose potential regulation sites of post transcription modification, therapeutic treatments and concerns over animal trials.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"289 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":"131645990","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}
Independent Component Analysis (ICA) is a popular method that uses statistical principles to separate the mixture into statistically independent non-Gaussian sources. It has been well used in functional Magnetic Resonance Imaging (fMRI) data. However, real fMRI data can rarely be accurately modeled as mixtures of independent components, the convergence of ICA may be impaired. This paper is based on the idea of preconditioned ICA for real data (Picard), which involves a preprocessing L-BFGS strategy based on orthogonal matrix sets. In this study, we designed an experiment to validate the idea that Picard can improve ICA algorithms such as Infomax, Extended-Infomax, and FastICA, respectively named Picard 1, Picard 2, and Picard 3, for fMRI data analysis. Three Picard versions were performed on the simulated and noisy fMRI mixtures to verify the ability to separate independent sources. Experimental results showed that Picard 3 outperformed Picard 1 and Picard 2 on both noiseless and noisy simulated fMRI data, which implied the priority of Picard 3 in fMRI data analysis.
{"title":"Comparison of Picard Versions for Analyzing functional Magnetic Resonance Imaging Data","authors":"Yulong Xiong, Qin Yu, Shuang He, Haitong Tang, Kaiyue Liu, Ni-zhuan Wang","doi":"10.1145/3448748.3448818","DOIUrl":"https://doi.org/10.1145/3448748.3448818","url":null,"abstract":"Independent Component Analysis (ICA) is a popular method that uses statistical principles to separate the mixture into statistically independent non-Gaussian sources. It has been well used in functional Magnetic Resonance Imaging (fMRI) data. However, real fMRI data can rarely be accurately modeled as mixtures of independent components, the convergence of ICA may be impaired. This paper is based on the idea of preconditioned ICA for real data (Picard), which involves a preprocessing L-BFGS strategy based on orthogonal matrix sets. In this study, we designed an experiment to validate the idea that Picard can improve ICA algorithms such as Infomax, Extended-Infomax, and FastICA, respectively named Picard 1, Picard 2, and Picard 3, for fMRI data analysis. Three Picard versions were performed on the simulated and noisy fMRI mixtures to verify the ability to separate independent sources. Experimental results showed that Picard 3 outperformed Picard 1 and Picard 2 on both noiseless and noisy simulated fMRI data, which implied the priority of Picard 3 in fMRI data analysis.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"101 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":"114386642","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}
Gene set testing is one of the indispensable analysis methods for analyzing high-dimensional genome data. Although the expression and function of many genes are tissue-specific, gene set testing is performed in a way that does not distinguish between tissue types. In order to cope with this challenge, this article uses the tissue-specific gene activity information in the human protein atlas to calculate the tissue-specific gene weights, and uses the filtered gene set in the molecular signature database to generate the tissue-specific gene set weights. In order to prove the validity of these weights, this article use the weights to perform gene set tests on the gene expression data of the three diseases, and use the p-values generated by the tests to weight. Through the weighted FDR analysis, this research can conclude the proposed tissue-specific gene set weights significantly improve the statistical power of gene set testing, and more accurately identified the biological gene set association information of high-dimensional genome data.
{"title":"Analysis method of Tissue-specific gene set weight","authors":"Tian Tian, Huakun Wang","doi":"10.1145/3448748.3448762","DOIUrl":"https://doi.org/10.1145/3448748.3448762","url":null,"abstract":"Gene set testing is one of the indispensable analysis methods for analyzing high-dimensional genome data. Although the expression and function of many genes are tissue-specific, gene set testing is performed in a way that does not distinguish between tissue types. In order to cope with this challenge, this article uses the tissue-specific gene activity information in the human protein atlas to calculate the tissue-specific gene weights, and uses the filtered gene set in the molecular signature database to generate the tissue-specific gene set weights. In order to prove the validity of these weights, this article use the weights to perform gene set tests on the gene expression data of the three diseases, and use the p-values generated by the tests to weight. Through the weighted FDR analysis, this research can conclude the proposed tissue-specific gene set weights significantly improve the statistical power of gene set testing, and more accurately identified the biological gene set association information of high-dimensional genome data.","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":"130060199","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}
Transcranial direct current stimulation (tDCS) is a popular method for non-invasive modulation of brain activity and a potential treatment for neuropsychiatric disorders. Currently the finite element head model has widely used to study tDCS. However, the typical head model ignored some extra-brain tissues, which may have a large influence on simulating the effect of tDCS. This study established a detailed head model including spongy bone to calculate the cortical electric field in tDCS. The spongy bone was extracted from the MR images and then a 6-layer head model was established. After the thickness of the skull and spongy bone was measured, the cortical electric field distributions on the detailed model and the typical model were simulated and compared. The result showed that the distribution and amplitude of electric field were different in two models, especially the distribution. The six-layer model will get a larger range of stimulus. Based on the simulation results and the real physiological structure, we conclude that it is very important to distinguish the skull into the compact bone and spongy bone for the accurate simulation of tDCS.
{"title":"Multi-layer skull modeling and importance for tDCS simulation","authors":"Weiqian Sun, Heng Wang, Jianxu Zhang, Tianyi Yan, Guangying Pei","doi":"10.1145/3448748.3448788","DOIUrl":"https://doi.org/10.1145/3448748.3448788","url":null,"abstract":"Transcranial direct current stimulation (tDCS) is a popular method for non-invasive modulation of brain activity and a potential treatment for neuropsychiatric disorders. Currently the finite element head model has widely used to study tDCS. However, the typical head model ignored some extra-brain tissues, which may have a large influence on simulating the effect of tDCS. This study established a detailed head model including spongy bone to calculate the cortical electric field in tDCS. The spongy bone was extracted from the MR images and then a 6-layer head model was established. After the thickness of the skull and spongy bone was measured, the cortical electric field distributions on the detailed model and the typical model were simulated and compared. The result showed that the distribution and amplitude of electric field were different in two models, especially the distribution. The six-layer model will get a larger range of stimulus. Based on the simulation results and the real physiological structure, we conclude that it is very important to distinguish the skull into the compact bone and spongy bone for the accurate simulation of tDCS.","PeriodicalId":115821,"journal":{"name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","volume":"37 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":"121648344","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}
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