Eigengene Network Analysis of Human and Chimpanzee Microarray Data R TutorialLangfelder, PeterHorvath, Steve
iterativeWGCNA provides a Python-wrapped extension for the R programWeighted Gene Correlation Network Analysis(WGCNA) that improves the robustness of network-based classifications (modules) inferred from whole-transcriptome gene expression datasets.
1,https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/Tutorials/ 2,A General Framework for Weighted Gene Co-Expression Network Analysis, Stat Appl Genet Mol Biol. "Statistical applications in genetics and molecular biology.") 2005;4:Article17. Epub 2005 Aug 12...
tumor classificationindependent component analysisBayesian sum ruleclassifier committee learningThis paper presents a tumor classification approach by using eigengene and support vector machine (SVM) based classifier committee learning (CCL) algorithm. In this method, first, multiple sample......
View Active Events Ola Oni·7y ago· 2,635 views arrow_drop_up5 Copy & Edit50 more_vert Input Data actual.csv(511 B) get_app chevron_right About this file Each patients cancer type Your browser does not support charts× 1 72 ALL65% ...