NMFEM – detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

February 1, 2017 Leave a comment 4,706 Views

Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution. However, well-suited bioinformatics tools to analyze the data generated from this new technology are still lacking. Here researchers from the University ...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Modularity

NMFEM – detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

Novel guidelines help select optimal deconvolution method

An RNA-Seq framework for profiling target selectivity and physiological effects of antisense peptide nucleic acids (PNAs)

Single cell sequencing unravels molecular identity of rare renal cell types

SMIXnorm – fast and accurate RNA-Seq data normalization for FFPE Samples

TEA-seq – simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility

First use of both bulk and single-cell RNA sequencing of human bladder tumors to study resistance to immunotherapy

Post-doc position available – transcriptome bioinformatics and RNA sequencing