Motivation Single cell RNA-seq (scRNA-seq) count data show many differences compared
with bulk RNA-seq count data, making the application of many RNA-seq pre …

As an emerging sequencing technology, single-cell RNA sequencing (scRNA-Seq) has
become a powerful tool for describing cell subpopulation classification and cell …

Single-cell RNA sequencing (scRNA-seq) has been developed for characterizing the
transcriptome of cells that are rare but of biological significance. With cell barcoding and …

The present review discusses recent progress in single-cell RNA sequencing (scRNA-seq),
which can describe cellular heterogeneity in various organs, bodily fluids, and pathologies …

Motivation: RNA-seq has been extensively used for transcriptome study. Quality control (QC)
is critical to ensure that RNA-seq data are of high quality and suitable for subsequent …

Almost all biomedical research to date has relied upon mean measurements from cell
populations, however it is well established that what it is observed at this macroscopic level …

Single-cell RNA sequencing (scRNA-seq), a technology that analyzes transcriptomes of
complex tissues at single-cell levels, can identify differential gene expression and epigenetic …