Mark Doderer, Zachry Anguiano, U. Suresh, Ravi Dashnamoorthy, A. Bishop, Yidong Chen
{"title":"Multisource biological pathway consolidation","authors":"Mark Doderer, Zachry Anguiano, U. Suresh, Ravi Dashnamoorthy, A. Bishop, Yidong Chen","doi":"10.1109/GENSiPS.2011.6169447","DOIUrl":null,"url":null,"abstract":"A typical method to discover phenotypic descriptions of an ordered set of differential gene expressions is to identify pathway enrichments. There are many pathways that are highly related or maybe redundant across different databases making their consolidation an essential step when interpreting these results. Two methods of pathway consolidation are explored, one utilizes the gene set of the most enriched pathway to find similar pathways also enriched in a given experiment. The other method uses only the gene members in each pathway, this finds de novo pathway clusters independent of any given experiment. Unique consolidation results from both methods are presented, demonstrating their applications in biological studies.","PeriodicalId":181666,"journal":{"name":"2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GENSiPS.2011.6169447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A typical method to discover phenotypic descriptions of an ordered set of differential gene expressions is to identify pathway enrichments. There are many pathways that are highly related or maybe redundant across different databases making their consolidation an essential step when interpreting these results. Two methods of pathway consolidation are explored, one utilizes the gene set of the most enriched pathway to find similar pathways also enriched in a given experiment. The other method uses only the gene members in each pathway, this finds de novo pathway clusters independent of any given experiment. Unique consolidation results from both methods are presented, demonstrating their applications in biological studies.