Identification of transcriptional programs using dense vector representations defined by mutual information with GeneVector

Dr. Nicholas Ceglia et al. published the paper Identification of transcriptional programs using dense vector representations defined by mutual information with GeneVector. A scalable framework for dimensionality reduction, GeneVector identifies transcriptional programs and classifies cell types.

You can read the paper in Nature Communications here.