{"title":"Marker gene identification for gene expression analysis — Review and new findings for Diffused Large B Cell Lymphoma (DLBCL)","authors":"Xiguang Wei, Ho-Chun Wu, S. Chan","doi":"10.1109/ICDSP.2016.7868571","DOIUrl":null,"url":null,"abstract":"Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-the-art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.","PeriodicalId":206199,"journal":{"name":"2016 IEEE International Conference on Digital Signal Processing (DSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Digital Signal Processing (DSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2016.7868571","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Cancer is a remarkabe disease characterized with the de-rdgulation of various genetic pathways. The identification of gene markers, some of which carry signatures to clinical relevant physiological effects, sheds light on the development of various clinical applications. A major challenge in marker gene identification is the biological and statistical variability. In particular, we highlight state-of-the-art methodologies and the latest challenges in marker gene identification from gene microarray data. Moreover, we illustrate the use of a partial least square based approach for identifying gene markers from a Diffuse Large B Cell Lymphoma gene microarray dataset and present new findings.