R package for pathway analysis in scRNA-seq data
Deep exponential families for single-cell data.
Profile RNA-seq data using published TB gene signatures
This repository contains code used to build and interpret a deep learning model. It is a DNN classifier trained using gene expression data (TCGA). Then is interpreted to identify cancer specific gene expression signatures.
Tool for group biology estimation in single-cell RNAseq data
Using biological constraints to improve the performance of transcriptomic gene signatures
Add a description, image, and links to the gene-signatures topic page so that developers can more easily learn about it.
To associate your repository with the gene-signatures topic, visit your repo's landing page and select "manage topics."