Single-cell RNA sequencing (scRNA-seq) technology has been developed to characterize gene expression profiles at single-cell resolution, which improves the detection of known and novel cell types, as ...

Cell state atlases constructed through single-cell RNA-seq and ATAC-seq analysis are powerful tools for analyzing the effects of genetic and drug treatment-induced perturbations on complex cell ...

The huge datasets generated using today’s bioinformatics methods are useless unless they undergo robust quality control. Researchers need to know that they can trust their underlying data to make ...

Reproducible translation of transcriptomics data has been hampered by the ubiquitous presence of batch effects. Statistical methods for managing batch effects were initially developed in the setting ...