Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305107
Junwei Du, Yonggang Wang, Lijun Zhang, Zhong-qiu Zhou, Zizhong Xu, Xiaolian Wang
Cerium doped lutetium oxyorthosilicate scintillators, such as LYSO, which possess high stopping power, high light output and fast decay time, are promising candidates for use in positron emission tomography. In this paper, the luminescence and nuclear spectroscopic properties of two LYSO samples, used in the NN-PET detectors, are studied. UV-excited emission spectra show that maximum emission spectral values are within the range of 400-425nm, which is well compatible with spectral response of PMT H7546B. The decay time, energy resolution, light output and energy spectra related to coincidence time window were investigated. The decay times of the two LYSO samples are 34.16±1.43ns, 34.26±1.95ns, respectively. The energy resolution and the light output, relative to NaI(Tl), are 10.25%±0.06%, 10.17%±0.10% and 75.3±5.7, 76.1±5.8 respectively when detected with PMT XP2262B. The energy spectra change obviously with coincidence time window and coincidence energy resolution is 14% when obtained using coincidence detector based on LYSO and H7546B. Keywords-LYSO;Decay time;Energy resolution;Light output; Energy spectra;
{"title":"Physical Properties of LYSO Scintillator for NN-PET Detectors","authors":"Junwei Du, Yonggang Wang, Lijun Zhang, Zhong-qiu Zhou, Zizhong Xu, Xiaolian Wang","doi":"10.1109/BMEI.2009.5305107","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305107","url":null,"abstract":"Cerium doped lutetium oxyorthosilicate scintillators, such as LYSO, which possess high stopping power, high light output and fast decay time, are promising candidates for use in positron emission tomography. In this paper, the luminescence and nuclear spectroscopic properties of two LYSO samples, used in the NN-PET detectors, are studied. UV-excited emission spectra show that maximum emission spectral values are within the range of 400-425nm, which is well compatible with spectral response of PMT H7546B. The decay time, energy resolution, light output and energy spectra related to coincidence time window were investigated. The decay times of the two LYSO samples are 34.16±1.43ns, 34.26±1.95ns, respectively. The energy resolution and the light output, relative to NaI(Tl), are 10.25%±0.06%, 10.17%±0.10% and 75.3±5.7, 76.1±5.8 respectively when detected with PMT XP2262B. The energy spectra change obviously with coincidence time window and coincidence energy resolution is 14% when obtained using coincidence detector based on LYSO and H7546B. Keywords-LYSO;Decay time;Energy resolution;Light output; Energy spectra;","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"40 8","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72603665","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305339
Yongqiang Zhao, PeiFeng Wei
The pathological changes of skin will change the tissue's birefringence and structure, which can be measured by the polarization and spectral changes of tissue's scattering light. Light-scattering polarimetric spectrum is an effective tool to measure these features for quantitative pathology analysis. In this paper, a theoretical model of single backscattering spectra based on Mie theory is established, to describe the polarized light scattering spectroscopy for a two-layered scattering medium. To test the utility of this model, an epithelial tissue polarimetric spectral imaging system is proposed, then human frostbite sample is imaged using the system. Proposed model is used to acquire the morphological parameters closely relating to the abnormality of biological tissue, including the mean diameter, size distribution and relative refractive index. Experimental results demonstrated the potentials of the proposed techniques in skin pathological diagnosis and treatment evaluation.
{"title":"Epithelial Tissue Abnormity Analysis Based on Single Backscattering Polarimetric Spectrum","authors":"Yongqiang Zhao, PeiFeng Wei","doi":"10.1109/BMEI.2009.5305339","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305339","url":null,"abstract":"The pathological changes of skin will change the tissue's birefringence and structure, which can be measured by the polarization and spectral changes of tissue's scattering light. Light-scattering polarimetric spectrum is an effective tool to measure these features for quantitative pathology analysis. In this paper, a theoretical model of single backscattering spectra based on Mie theory is established, to describe the polarized light scattering spectroscopy for a two-layered scattering medium. To test the utility of this model, an epithelial tissue polarimetric spectral imaging system is proposed, then human frostbite sample is imaged using the system. Proposed model is used to acquire the morphological parameters closely relating to the abnormality of biological tissue, including the mean diameter, size distribution and relative refractive index. Experimental results demonstrated the potentials of the proposed techniques in skin pathological diagnosis and treatment evaluation.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73638954","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305127
Ting Wang, Xiuzhen Hu
By using of the composite vector with increment of diversity and scoring function to express the information of sequence, a support vector machine (SVM) algorithm for predicting the eight types of membrane proteins is proposed. The overall jackknife success rate is 91.81% what is higher than other results. In order to evaluate the predictive method, the six types of membrane proteins are predicted by using our method. The better results are obtained.
{"title":"Prediction of Membrane Protein Types by Using Support Vector Machine Based on Composite Vector","authors":"Ting Wang, Xiuzhen Hu","doi":"10.1109/BMEI.2009.5305127","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305127","url":null,"abstract":"By using of the composite vector with increment of diversity and scoring function to express the information of sequence, a support vector machine (SVM) algorithm for predicting the eight types of membrane proteins is proposed. The overall jackknife success rate is 91.81% what is higher than other results. In order to evaluate the predictive method, the six types of membrane proteins are predicted by using our method. The better results are obtained.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"193 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73949643","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5302030
Wei Wei, Lin Wan, M. Qian, Minghua Deng
The preprocessing of the Microarray data is a hot topic in the bioinformatics research. The key point of a successful preprocessing method is to remove the noise of nonspecific binding and to keep the information of specific binding as much as possible. One way to solve these problems is to understand the principle of the binding between probes and target sequences, and to distinguish specific binding from nonspecific binding correctly. In this paper, we introduce MM probe intensities into position dependent nearest neighbor (PDNN) model, which contain much information of nonspecific binding.We use two-step model to estimate the parameters,which can simplify the computation. Based on the Wilcoxon rank test, we can determine whether a gene is present, with which we can obtain the training data set for the specific binding and non specific binding parameters. We also apply our model to gene expression data (HGU133plus2.0 and HGU133A) . We find that all these improvements increase the precision and stability, and show better result compared to the other four methods( Mas5.0, dChip, RMA and PDNN ).
{"title":"The Implementation and Application of the Microarray Preprocessing Generalized PDNN Model","authors":"Wei Wei, Lin Wan, M. Qian, Minghua Deng","doi":"10.1109/BMEI.2009.5302030","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5302030","url":null,"abstract":"The preprocessing of the Microarray data is a hot topic in the bioinformatics research. The key point of a successful preprocessing method is to remove the noise of nonspecific binding and to keep the information of specific binding as much as possible. One way to solve these problems is to understand the principle of the binding between probes and target sequences, and to distinguish specific binding from nonspecific binding correctly. In this paper, we introduce MM probe intensities into position dependent nearest neighbor (PDNN) model, which contain much information of nonspecific binding.We use two-step model to estimate the parameters,which can simplify the computation. Based on the Wilcoxon rank test, we can determine whether a gene is present, with which we can obtain the training data set for the specific binding and non specific binding parameters. We also apply our model to gene expression data (HGU133plus2.0 and HGU133A) . We find that all these improvements increase the precision and stability, and show better result compared to the other four methods( Mas5.0, dChip, RMA and PDNN ).","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"28 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84587542","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305808
Weiyi Chen, Chunsheng Liu, Xiaojun Wang, Yanjun Li, Xiao-na Li, Lei Ma
Ocular rigidity is an important indicator describing the entirety elastic properties of the eyeball, which has a direct correlation with myopia and glaucoma. In this paper, how the intraocular pressures (IOP), central corneal thickness (CCT), and ages influenced ocular rigidity of New Zealand white rabbits was investigated. CCT and basic IOP were measured by the PachyMeter Echograph and Schiote Tonometer respectively. Dynamic relationship between IOP and volume of eye was measured by self-established test system. Our results showed that there was no difference between the ocular rigidity of both eyes in the same group rabbits. The ocular rigidity decreased with the increase of ages, while increased with the IOP. But CCT、initial IOP and Axial Length of the eye in four groups had no significant effects on ocular rigidity.
{"title":"The Experimental Study on Ocular Rigidity of Rabbit In Vivo","authors":"Weiyi Chen, Chunsheng Liu, Xiaojun Wang, Yanjun Li, Xiao-na Li, Lei Ma","doi":"10.1109/BMEI.2009.5305808","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305808","url":null,"abstract":"Ocular rigidity is an important indicator describing the entirety elastic properties of the eyeball, which has a direct correlation with myopia and glaucoma. In this paper, how the intraocular pressures (IOP), central corneal thickness (CCT), and ages influenced ocular rigidity of New Zealand white rabbits was investigated. CCT and basic IOP were measured by the PachyMeter Echograph and Schiote Tonometer respectively. Dynamic relationship between IOP and volume of eye was measured by self-established test system. Our results showed that there was no difference between the ocular rigidity of both eyes in the same group rabbits. The ocular rigidity decreased with the increase of ages, while increased with the IOP. But CCT、initial IOP and Axial Length of the eye in four groups had no significant effects on ocular rigidity.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"23 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84726084","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305044
Yao Zhang, A. Cheng, Mingshu Wang, Dekang Zhu, R. Jia, Fei Liu, Xiaoyue Chen
The analysis on codon usage bias of UL26.5 gene of duck enteritis virus (DEV) may provide a basis for understanding the evolution and pathogenesis of DEV and for selecting appropriate host expression systems to improve the expression of target genes in vivo and in vitro. In this study, the synonymous codon usage in the UL26.5 gene of DEV and 27 reference herpesviruses have been investigated . The results reveals that the synonymous codons with A and T at the third codon positon have widely usage in the codon of UL26.5 gene of DEV. G + C compositional constraint is the main factor that determines the codon usage bias in UL26.5 gene. The phylogentic analysis suggested that DEV was evolutionarily closer to fowl herpesviruses which further clustered into Alphaherpesvirinae. There were both 21 codons showing distinct usage differences between DEV with Escherichia coli and yeast, 25 between DEV and Homo sapiens, 26 between DEV and adenovirus. Therefore the yeast and E. coli expression system may be suitable for the expression of DEV UL26.5 gene if some codons could be optimized.
{"title":"Analysis of Synonymous Codon Usage in the UL26.5 Gene of Duck Enteritis Virus","authors":"Yao Zhang, A. Cheng, Mingshu Wang, Dekang Zhu, R. Jia, Fei Liu, Xiaoyue Chen","doi":"10.1109/BMEI.2009.5305044","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305044","url":null,"abstract":"The analysis on codon usage bias of UL26.5 gene of duck enteritis virus (DEV) may provide a basis for understanding the evolution and pathogenesis of DEV and for selecting appropriate host expression systems to improve the expression of target genes in vivo and in vitro. In this study, the synonymous codon usage in the UL26.5 gene of DEV and 27 reference herpesviruses have been investigated . The results reveals that the synonymous codons with A and T at the third codon positon have widely usage in the codon of UL26.5 gene of DEV. G + C compositional constraint is the main factor that determines the codon usage bias in UL26.5 gene. The phylogentic analysis suggested that DEV was evolutionarily closer to fowl herpesviruses which further clustered into Alphaherpesvirinae. There were both 21 codons showing distinct usage differences between DEV with Escherichia coli and yeast, 25 between DEV and Homo sapiens, 26 between DEV and adenovirus. Therefore the yeast and E. coli expression system may be suitable for the expression of DEV UL26.5 gene if some codons could be optimized.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"10 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85442106","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305231
Hai-ling Xiao, Ru-gang Zhong, D. Zheng
People have paid close attention to melamine by Sanlu Event. Melamine, a widely used as an organic chemical in industry, was added in milk to increase the protein content. Obviously, traditional kjeldahl hasn't suitable to detect real protein content. Focusing on the milk with melamine in market, a rapid and easy method is necessary to meet the needs to detect melamine from the milk. In this study, the analytical system was developed by surface enhanced Raman spectrum (SERS) and portable Raman spectrometer, which had fast detecting and alarming functions. Firstly, Qualitative analysis method for detecting melamine in milk was found. And the peak 709cm -1 was used as the essential peak for qualitative analysis method. On the basis of that, quantitative method was further defined. The concentration of melamine in milk vs Ratio of 709cm -1 /1026cm -1 showed a good linear relationship when the standard concentration of melamine in milk within 3ppm to 10ppm. Detective limit of this method was 1ppm, and the quantization limit was 3ppm. Recovery was in 86% to 106% and satisfied the request of GB/T22388-2008 (80%- 110%). Analytical system was established for determination melamine in milk. Multiple functions were contained in this system. Detecting and result were completed rapidly by used analytical system on condition that the concentration of melamine within 3ppm to 10ppm. The red signal was displaying at concentration above 3ppm, and the green signal was giving at concentration below 3ppm.
{"title":"Analytical System Based on Raman Spectroscopy in Melamine Detection","authors":"Hai-ling Xiao, Ru-gang Zhong, D. Zheng","doi":"10.1109/BMEI.2009.5305231","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305231","url":null,"abstract":"People have paid close attention to melamine by Sanlu Event. Melamine, a widely used as an organic chemical in industry, was added in milk to increase the protein content. Obviously, traditional kjeldahl hasn't suitable to detect real protein content. Focusing on the milk with melamine in market, a rapid and easy method is necessary to meet the needs to detect melamine from the milk. In this study, the analytical system was developed by surface enhanced Raman spectrum (SERS) and portable Raman spectrometer, which had fast detecting and alarming functions. Firstly, Qualitative analysis method for detecting melamine in milk was found. And the peak 709cm -1 was used as the essential peak for qualitative analysis method. On the basis of that, quantitative method was further defined. The concentration of melamine in milk vs Ratio of 709cm -1 /1026cm -1 showed a good linear relationship when the standard concentration of melamine in milk within 3ppm to 10ppm. Detective limit of this method was 1ppm, and the quantization limit was 3ppm. Recovery was in 86% to 106% and satisfied the request of GB/T22388-2008 (80%- 110%). Analytical system was established for determination melamine in milk. Multiple functions were contained in this system. Detecting and result were completed rapidly by used analytical system on condition that the concentration of melamine within 3ppm to 10ppm. The red signal was displaying at concentration above 3ppm, and the green signal was giving at concentration below 3ppm.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"90 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79751197","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5304816
Chonglun Fang, Jinwen Ma
This paper proposes a novel k-means algorithm for clustering analysis for the cases that the true number of clusters in a data or points set is not known in advance. That is, assuming that the number of seed-points in the algorithm is set to be larger than the true number k of clusters in the data set, the proposed algorithm can assign the k seed-points to the actual clusters, respectively, with the extra seed-points corresponding to the empty clusters, i.e., having no winning points according to a newly defined distance. Via using the Mahalanobis distance, the proposed algorithm can be further extended to elliptical clustering analysis. It is demonstrated well by the experiments on simulated data set and the wine data that the proposed k- means algorithm can find the correct number of clusters in the sample data with a good correct classification rate. Moreover, the algorithm is successfully applied to unsupervised color image segmentation.
{"title":"A Novel k'-Means Algorithm for Clustering Analysis","authors":"Chonglun Fang, Jinwen Ma","doi":"10.1109/BMEI.2009.5304816","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5304816","url":null,"abstract":"This paper proposes a novel k-means algorithm for clustering analysis for the cases that the true number of clusters in a data or points set is not known in advance. That is, assuming that the number of seed-points in the algorithm is set to be larger than the true number k of clusters in the data set, the proposed algorithm can assign the k seed-points to the actual clusters, respectively, with the extra seed-points corresponding to the empty clusters, i.e., having no winning points according to a newly defined distance. Via using the Mahalanobis distance, the proposed algorithm can be further extended to elliptical clustering analysis. It is demonstrated well by the experiments on simulated data set and the wine data that the proposed k- means algorithm can find the correct number of clusters in the sample data with a good correct classification rate. Moreover, the algorithm is successfully applied to unsupervised color image segmentation.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85284634","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305536
Yijun Chen
MicroRNAs (miRNAs) are small noncoding RNA gene products. It is important in biology and biomedicine. The miRNA is closely related to human disease, in particular, such as cancer and tumor. We develop an information system for miRNA, which integrates a variety of existing miRNA information system on the market. The system offers as much information as possible; meanwhile it costs as less time as possible by using simultaneous processing technologies, and reduces information redundancy by knowledge discover mechanisms. A special mechanism is used to speed up the query. We collect miRNA links from existing key systems through search engine and obtain all miRNA information by these links. Then after removing noise and irrelevant ones, we extract and separate the useful information from them. After that, we synthesize and compose comprehensive information in accordance with the cache database. Finally, an effective and efficient integrated cross-database miRNA query system, as well as user friendly GUI, is provided. Key Words—bioinformatics, microRNA, miRNA, web service, query system
{"title":"An Integrated Cross-Database Search System for microRNA","authors":"Yijun Chen","doi":"10.1109/BMEI.2009.5305536","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305536","url":null,"abstract":"MicroRNAs (miRNAs) are small noncoding RNA gene products. It is important in biology and biomedicine. The miRNA is closely related to human disease, in particular, such as cancer and tumor. We develop an information system for miRNA, which integrates a variety of existing miRNA information system on the market. The system offers as much information as possible; meanwhile it costs as less time as possible by using simultaneous processing technologies, and reduces information redundancy by knowledge discover mechanisms. A special mechanism is used to speed up the query. We collect miRNA links from existing key systems through search engine and obtain all miRNA information by these links. Then after removing noise and irrelevant ones, we extract and separate the useful information from them. After that, we synthesize and compose comprehensive information in accordance with the cache database. Finally, an effective and efficient integrated cross-database miRNA query system, as well as user friendly GUI, is provided. Key Words—bioinformatics, microRNA, miRNA, web service, query system","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"4 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85351544","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}
Pub Date : 2009-10-30DOI: 10.1109/BMEI.2009.5305500
Shu-Bo Zhang, J. Lai
Protein subcellular localization prediction is important to functional annotation of protein. In this study, a hybrid system based on the sorting mechanism of protein was proposed to predict protein subcellular localization. At first, an unknown protein sequence was divided into two sub-sequences at certain position, then features were extracted from them and combined into a fusion feature vector to describe the whole protein sequence. Secondly, an optimal sub-classifier was searched out to discriminate each kind of protein from the others through iterative searching strategy. Finally, all of the sub-classifiers were combined into a hybrid system to predict subcellular localization of unknown protein. Experimental results on two public datasets showed that our hybrid system is an effective way for the prediction of protein subcellular localization, and it has higher accuracy than others.
{"title":"A Hybrid System for Prediction of Protein Subcellular Localization","authors":"Shu-Bo Zhang, J. Lai","doi":"10.1109/BMEI.2009.5305500","DOIUrl":"https://doi.org/10.1109/BMEI.2009.5305500","url":null,"abstract":"Protein subcellular localization prediction is important to functional annotation of protein. In this study, a hybrid system based on the sorting mechanism of protein was proposed to predict protein subcellular localization. At first, an unknown protein sequence was divided into two sub-sequences at certain position, then features were extracted from them and combined into a fusion feature vector to describe the whole protein sequence. Secondly, an optimal sub-classifier was searched out to discriminate each kind of protein from the others through iterative searching strategy. Finally, all of the sub-classifiers were combined into a hybrid system to predict subcellular localization of unknown protein. Experimental results on two public datasets showed that our hybrid system is an effective way for the prediction of protein subcellular localization, and it has higher accuracy than others.","PeriodicalId":6389,"journal":{"name":"2009 2nd International Conference on Biomedical Engineering and Informatics","volume":"69 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84070601","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}