BioinformaticsbioRxivPreprint
Machine learning methods to reverse engineer dynamic gene regulatory networks governing cell state transitions
Panagiοtis Tsakanikas, Dimitris V. Manatakis, E. S. Manolakos
This paper introduces a machine learning method to analyze single-cell gene expression data and reconstruct dynamic gene regulatory networks during cell state transitions, with application to hematopoiesis.