This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction

R package for de novo pathway enrichment using KeyPathwayMiner

ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. Takes in the complete filtered and normalized read count matrix, the location of the two sub-populations and the number of cores to be used.

Simple (effin') Enrichment Analysis in R

Weighted Gene Co-expression Network Analysis;

The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.

A multi-response Gaussian model capable of accurately estimating the composition of blood samples from their gene expression profiles. Fit on Affymetrix Gene ST gene expression profiles using the glmnet R package.

Arabidopsis EcoGEx (R-📦 + 🕸️-App)

SPACEGERM shiny app (archived, see GitLab for active fork)

survival of patients using ors on TCGA data

NanoString classifier based on NGS training set

SPOT - Swift Profiling Of Transcriptomes - a shiny app for gene ranking according to user-defined expression profiles