made4 - Multivariate analysis of microarray data using ADE4
Multivariate data analysis and graphical display of microarray data. Functions include for supervised dimension reduction (between group analysis) and joint dimension reduction of 2 datasets (coinertia analysis). It contains functions that require R package ade4.
Last updated 5 months ago
clusteringclassificationdimensionreductionprincipalcomponenttranscriptomicsmultiplecomparisongeneexpressionsequencingmicroarray
6.02 score 41 dependencies 2 dependentsiBBiG - Iterative Binary Biclustering of Genesets
iBBiG is a bi-clustering algorithm which is optimizes for binary data analysis. We apply it to meta-gene set analysis of large numbers of gene expression datasets. The iterative algorithm extracts groups of phenotypes from multiple studies that are associated with similar gene sets. iBBiG does not require prior knowledge of the number or scale of clusters and allows discovery of clusters with diverse sizes
Last updated 5 months ago
clusteringannotationgenesetenrichment
4.56 score 47 dependencies 2 dependents