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Updated: Feb 10, 2026

Microfluidic Chip for Axonal Injury Models Construction and Enabling Multi-Omics Analysis
Published on: October 14, 2025
EMTscore infers divergent EMT pathways from omics data and enables rapid screening for correlated gene sets
Haimei Wen1, Leonidas Bleris2, Tian Hong1
1Department of Biological Sciences. The University of Texas at Dallas. Richarson, Texas 75080. USA.
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 relationships between EMT and other cellular processes.
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