A NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data
Hirotaka Matsumoto, Tetsutaro Hayashi, Haruka Ozaki, Koki Tsuyuzaki, Mana Umeda, Tsuyoshi Iida, Masaya Nakamura, Hideyuki Okano, Itoshi Nikaido
The paper introduces an NMF-based method to identify overlooked differentially expressed gene regions in single-cell RNA-seq data, finding novel transcripts related to neural stem/progenitor cell differentiation.
NAR Genomics and Bioinformatics · Dec 16, 2019Peer-reviewedBioinformatics