Ontology highlight
ABSTRACT: Introduction
Single-cell (SC) gene expression analysis is crucial to dissect the complex cellular heterogeneity of solid tumors, which is one of the main obstacles for the development of effective cancer treatments. Such tumors typically contain a mixture of cells with aberrant genomic and transcriptomic profiles affecting specific sub-populations that might have a pivotal role in cancer progression, whose identification eludes bulk RNA-sequencing approaches. We present scMuffin, an R package that enables the characterization of cell identity in solid tumors on the basis of a various and complementary analyses on SC gene expression data.Results
scMuffin provides a series of functions to calculate qualitative and quantitative scores, such as: expression of marker sets for no
SUBMITTER: Nale V
PROVIDER: S-EPMC10680269 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature