Evaluation and re-ranking of gene-expression based biclusters according to another source of compound information, e.g. the chemical structure, target prediction, bioactivity data, etc. This is with the advantage of prioritizing subset of compounds with very similar profiles across data sources.
|Author||Nolen Joy Perualila|
|Date of publication||2015-07-13 11:56:55|
|Maintainer||Nolen Joy Perualila <email@example.com>|
biclustRank-package: Ranking of Biclusters
boxplotBC: Boxplot of similarity scores by bicluster.
chooseFp: Select top features that differentiates the samples in the...
cumBC: Plot of cdf of similarity scores by bicluster.
Distance: Compute for the distance matrix of another data source.
expressionMatrix: Gene expression matrix example.
extractBicList: Extracting biclusters from the results of running fabia, isa,...
extractSimBC: Get the compound similarity matrix by bicluster.
fingerprints: Chemical structure data matrix example.
getLowerSim: Obtain the lower triangle similarity scores.
heatmapBC: Heatmap of similarity scores by BC.
heatmapBC2: Heatmap of the chemical structure data using the top features...
plotFabia: Plot of the gene loadings and/or sample scores by FABIA...
ppBC: Plot of gene profiles per bicluster.
statTab: Get the compound similarity matrix by bicluster.