Lingjia Kong, Kaisa-Leena Aho, Kirsi J. Granberg, Christophe Roos, R. Autio
{"title":"DBComposer: An R package for integrative analysis and management of gene expression microarray data","authors":"Lingjia Kong, Kaisa-Leena Aho, Kirsi J. Granberg, Christophe Roos, R. Autio","doi":"10.1109/GENSIPS.2013.6735944","DOIUrl":null,"url":null,"abstract":"DBComposer is an R package with a graphical user interface (GUI) to analyze and integrate human gene expression microarray data. With DBComposer, the data can be easily annotated, preprocessed and analyzed in several ways. DBComposer can also serve as a personal expression microarray database allowing users to store multiple datasets together for later retrieval or data analysis. It takes advantage of many R packages for statistics and visualizations, and provides a flexible framework to implement custom workflows to extend the data analysis capabilities.","PeriodicalId":336511,"journal":{"name":"2013 IEEE International Workshop on Genomic Signal Processing and Statistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Workshop on Genomic Signal Processing and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GENSIPS.2013.6735944","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
DBComposer is an R package with a graphical user interface (GUI) to analyze and integrate human gene expression microarray data. With DBComposer, the data can be easily annotated, preprocessed and analyzed in several ways. DBComposer can also serve as a personal expression microarray database allowing users to store multiple datasets together for later retrieval or data analysis. It takes advantage of many R packages for statistics and visualizations, and provides a flexible framework to implement custom workflows to extend the data analysis capabilities.