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Methods in Molecular Biology (Clifton, N.J.)|April 19, 2014
Visualization and clustering of high-dimensional transcriptome data using GATEPatrick S Stumpf, Ben D MacArthurFrontiers in Genetics|February 7, 2019
Machine Learning of Stem Cell Identities From Single-Cell Expression Data via Regulatory Network ArchetypesPatrick S Stumpf, Ben D MacArthurPhysical Biology|November 19, 2020
Heterogeneity and 'memory' in stem cell populationsPatrick S Stumpf, Fumio Arai, Ben D MacArthurProteomics|July 1, 2016
Single-cell pluripotency regulatory networksPatrick S Stumpf, Rob Ewing, Ben D MacArthurCell Stem Cell|February 5, 2021
Modeling Stem Cell Fates using Non-Markov ProcessesPatrick S Stumpf, Fumio Arai, Ben D MacArthurWiley Interdisciplinary Reviews. Systems Biology and Medicine|December 13, 2019
Theory of cell fateMichael J Casey, Patrick S Stumpf, Ben D MacArthurBiophysical Journal|June 22, 2017
Nanog Fluctuations in Embryonic Stem Cells Highlight the Problem of Measurement in Cell BiologyRosanna C G Smith, Patrick S Stumpf, Sonya J Ridden, et al.Cell Systems|December 9, 2020
Machine Learning of Hematopoietic Stem Cell Divisions from Paired Daughter Cell Expression Profiles Reveals Effects of Aging on Self-RenewalFumio Arai, Patrick S Stumpf, Yoshiko M Ikushima, et al.Pageof 7