Ontology highlight
ABSTRACT:
SUBMITTER: Bertolini A
PROVIDER: S-EPMC9200350 | biostudies-literature | 2022 Jun
REPOSITORIES: biostudies-literature
Bertolini Anne A Prummer Michael M Tuncel Mustafa Anil MA Menzel Ulrike U Rosano-González María Lourdes ML Kuipers Jack J Stekhoven Daniel Johannes DJ Beerenwinkel Niko N Singer Franziska F
PLoS computational biology 20220603 6
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful technique to decipher tissue composition at the single-cell level and to inform on disease mechanisms, tumor heterogeneity, and the state of the immune microenvironment. Although multiple methods for the computational analysis of scRNA-seq data exist, their application in a clinical setting demands standardized and reproducible workflows, targeted to extract, condense, and display the clinically relevant information. To this end, w ...[more]