Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming
Stéphanie Chevalier, Julia Becker, Yujuan Gui, Vincent Noël, Cui Su, Sascha Jung, Laurence Calzone, Andrei Y. Zinovyev, Antonio del Sol, Jun Pang, Lasse Sinkkonen, Thomas Sauter, Loïc Paulevé
The paper introduces BoNesis, a tool for inferring Boolean networks from transcriptome data to model cellular differentiation and reprogramming, demonstrating its application in hematopoiesis and adipocyte/osteoblast differentiation.
npj Systems Biology and Applications · Sep 26, 2025Peer-reviewedSystems Biology