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Updated: May 9, 2026
Induction and Analysis of Epithelial to Mesenchymal Transition
Published on: August 27, 2013
EMTscore infers divergent EMT pathways from omics data and enables rapid screening for EMT-associated gene sets
Haimei Wen1, Leonidas Bleris2, Tian Hong1
1Department of Biological Sciences, The University of Texas at Dallas, Richarson, TX 75080, United States.
Motivation:
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.
Results:
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.
Availability And Implementation:
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.
