An unsupervised transfer learning approach for rare disease transcriptomics
A Tidy Framework to Hack Gene Expression Signatures
Brain Cell Type Specific Gene Expression Analysis
Unbiased single-cell transcriptomic data cell type identification
Non-Negative Matrix Factorization for Gene Expression Clustering
The web application for the crowdsourced gene expression signatures: http://amp.pharm.mssm.edu/creeds/
Web application that enables users to compare the expression of genes or enrichment of gene sets between different molecular subtypes of colorectal cancer
Shared TREM-1 expression signatures of asthma affection and control
NanostrIng MB cLassifiEr
Development and validation of a robust RNA-seq based prognostic signature in non-small cell lung cancer
Code repository for SFARI Genes and where to find them; classification modelling to identify genes associated with Autism Spectrum Disorder from RNA-seq data
A library and toolkit for common representation and analysis of gene expression profile data
A repository that contains all the code for the interactive Shiny app of the models developed in our work on predicting response to neoadjuvant treatment.
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