SCMarker: Ab initio marker selection for single cell transcriptome profiling
by Fang Wang, Shaoheng Liang, Tapsi Kumar, Nicholas Navin, Ken Chen
Single-cell RNA-sequencing data generated by a variety of technologies, such as Drop-seq and SMART-seq, can reveal simultaneously the mRNA transcript levels of thousands of genes in thousands of cells. It is often important to identify informative genes or cell-type-discriminative markers to reduce dimensionality and achieve informative cell typing results. We present an ab initio method that performs unsupervised marker... Читать дальше...