A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data - Sun, Shiquan; Chen, Yabo; Liu, Yang; Shang, Xuequn (BMC systems biology, 2019)
Keywords: Algorithms; Binomial distribution; Biochemistry; Bioinformatics; Biomedical and Life Sciences; Brain; Brain stem; Cell cycle; Cells (Biology); Cellular and Medical Topics; Clustering; Computational Biology/Bioinformatics; Data analysis; Data processing; Datasets; Factorization; Gene expression; Gene sequencing; Genes; Genomes; Information management; Information processing; Life Sciences; Matrices (Mathematics); Methods; Pancreas; Physiological; Principal components analysis; Ribonucleic acid; RNA; RNA sequencing; Sequence Analysis, RNA; Simulation and Modeling; Single-Cell Analysis - methods; Source code; Stem cells; Systems Biology; Time Factors; Deep learning; Matrix factorization; Read count; Single-cell RNA sequencing