Important Numerical Features for Novel Endoplasmic Reticulum Genes Classification of Protein Localizations in Micrographs

Localization of proteins ties closely with the protein functions-the disorder of protein delivering can cause misfunction of the protein and genetic diseases. The analysis of micrographs can help to understand the distribution of proteins in the cell. ER proteins images analysis leads the researches to know that the same protein localization means the proteins have same function, and to understand the phylogenetic relationship by images morphologies. This research uses SDA to find the best combination of features from original, skeletonized and brighter area images, which then utilized in SVM classification. The accuracy of this system can achieve 74% for the images acquired by the same hardware equipment.
Han-Wei Dan Chung-Chih Lin Yuh-Show Tsai
Department of Biomedical Engineering, Chung Yuan Christian University, Taiwan Department of Life Sciences and Institute of Genetics Sciences, National Yang-Ming University, Taiwa Department of Biomedical Engineering,Chung Yuan Christian University, Taiwan
国际会议
2011 International Symposium on Bioelectronics and Bioinformatics(第二届国际生物医学电子学与生物信息学学术会议 ISBB 2011)
苏州
英文
178-181
2011-11-03(万方平台首次上网日期,不代表论文的发表时间)