EMTscore infers divergent EMT pathways from omics data and enables rapid screening for EMT-associated gene sets.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 42097304.
- Also identified by DOI 10.1093/bioinformatics/btag286 and PMC identifier 13186194.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Quantitative analyses of epithelial-mesenchymal transition (EMT) have been widely used in several areas of biomedical sciences due to its importance in development and cancer progression, but its multi-contextual nature requires standardization and implementation of gene set scoring methods beyond capacities of conventional tools. We developed EMTscore, a package that provides an efficient implementation of unbiased scoring methods for multiple EMT pathways using individual single-cell or bulk omics data, and the package allows rapid screening for cellular processes correlated with EMT. EMTscore is available from GitHub https://github.com/wenmm/EMTscore under the GNU General Public License, and is uploaded on Zenodo with a DOI 10.5281/zenodo.19487376.
Medical subject headings
- Epithelial-Mesenchymal Transition
- Software
- Computational Biology