Accurate Sub-population Detection and Mapping Across Single Cell Experiments with PopCorn

摘要

Recent technological advances have facilitated unprecedented opportunities for studying biological systems at single-cell level resolution. One notable example is single-cell RNA sequencing (scRNA-seq), which enables the measurement of transcriptomic information of thousands of individual cells in one experiment. Single cell measurements open the ability of capturing the heterogeneity of a population of cells and thus provide information that is not accessible using bulk sequencing. Among its many applications, scRNA-seq is more prominently employed in the identification of sub-populations of cells present in a sample, and for comparative analysis of such sub-populations across samples [3-6, 8-11].