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CompForce: a platform for computational cell fate engineering transcription factor prediction

integration_instructionsResearch softwarekeyboard_double_arrow_right Software Under curationPublisher:Zenodo
Authors: Su, Emily Y.; Ly, Brandon; Cahan, Patrick;

doi: 10.5281/zenodo.20563029

CompForce: a platform for computational cell fate engineering transcription factor prediction

Abstract

CompForce (COMPutational tools FOR Cell fate Engineering) is an R platform that integrates and standardizes transcriptomic-based computational methods for predicting transcription factors that drive cell identity transitions (DESeq2, t-test, a Jensen-Shannon-divergence approach, a CellNet-style Network Influence Score, and a Mogrify-style score), and aggregates their results. Software accompanying Su, Ly & Cahan, "Prediction of parsimonious and temporally-sensitive sets of cell fate engineering transcription factors with IMCell."

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