Ontology highlight
ABSTRACT:
SUBMITTER: Lu X
PROVIDER: S-EPMC8294548 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Briefings in bioinformatics 20210701 4
Deconvolution of mouse transcriptomic data is challenged by the fact that mouse models carry various genetic and physiological perturbations, making it questionable to assume fixed cell types and cell type marker genes for different data set scenarios. We developed a Semi-Supervised Mouse data Deconvolution (SSMD) method to study the mouse tissue microenvironment. SSMD is featured by (i) a novel nonparametric method to discover data set-specific cell type signature genes; (ii) a community detect ...[more]