| Strategies for cellular decision‐making TJ Perkins, PS Swain Molecular systems biology 5 (1), 326, 2009 | 359 | 2009 |
| Lyapunov design for safe reinforcement learning TJ Perkins, AG Barto Journal of Machine Learning Research 3 (Dec), 803-832, 2002 | 253 | 2002 |
| Reverse engineering the gap gene network of Drosophila melanogaster TJ Perkins, J Jaeger, J Reinitz, L Glass PLoS computational biology 2 (5), e51, 2006 | 235 | 2006 |
| Transcriptional dominance of Pax7 in adult myogenesis is due to high-affinity recognition of homeodomain motifs VD Soleimani, VG Punch, Y Kawabe, AE Jones, GA Palidwor, CJ Porter, ... Developmental cell 22 (6), 1208-1220, 2012 | 191 | 2012 |
| A general model of codon bias due to GC mutational bias GA Palidwor, TJ Perkins, X Xia PloS one 5 (10), e13431, 2010 | 184 | 2010 |
| Systematic Discovery of Rab GTPases with Synaptic Functions in Drosophila CC Chan, S Scoggin, D Wang, S Cherry, T Dembo, B Greenberg, EJ Jin, ... Current Biology 21 (20), 1704-1715, 2011 | 149 | 2011 |
| A convergent form of approximate policy iteration T Perkins, D Precup Advances in neural information processing systems 15, 2002 | 145 | 2002 |
| UTX inhibition as selective epigenetic therapy against TAL1-driven T-cell acute lymphoblastic leukemia A Benyoucef, CG Palii, C Wang, CJ Porter, A Chu, F Dai, V Tremblay, ... Genes & development 30 (5), 508-521, 2016 | 131 | 2016 |
| Absolute quantification of transcription factors reveals principles of gene regulation in erythropoiesis MA Gillespie, CG Palii, D Sanchez-Taltavull, P Shannon, ... Molecular cell 78 (5), 960-974. e11, 2020 | 118 | 2020 |
| Noisy information processing through transcriptional regulation E Libby, TJ Perkins, PS Swain Proceedings of the National Academy of Sciences 104 (17), 7151-7156, 2007 | 113 | 2007 |
| Control of glioblastoma tumorigenesis by feed-forward cytokine signaling A Jahani-Asl, H Yin, VD Soleimani, T Haque, HA Luchman, NC Chang, ... Nature neuroscience 19 (6), 798-806, 2016 | 109 | 2016 |
| A fluctuation method to quantify in vivo fluorescence data N Rosenfeld, TJ Perkins, U Alon, MB Elowitz, PS Swain Biophysical journal 91 (2), 759-766, 2006 | 97 | 2006 |
| Inferring models of gene expression dynamics TJ Perkins, M Hallett, L Glass Journal of theoretical biology 230 (3), 289-299, 2004 | 94 | 2004 |
| Identifying regulatory subnetworks for a set of genes MS Scott, T Perkins, S Bunnell, F Pepin, DY Thomas, M Hallett Molecular & Cellular Proteomics 4 (5), 683-692, 2005 | 89 | 2005 |
| Using Options for Knowledge Transfer in Reinforcement Learning TJ Perkins, D Precup University of Massachusetts, 1999 | 76 | 1999 |
| FiloDetect: automatic detection of filopodia from fluorescence microscopy images S Nilufar, AA Morrow, JM Lee, TJ Perkins BMC systems biology 7, 1-12, 2013 | 68 | 2013 |
| The HDAC3–SMARCA4–miR-27a axis promotes expression of the PAX3:FOXO1 fusion oncogene in rhabdomyosarcoma N Bharathy, NE Berlow, E Wang, J Abraham, TP Settelmeyer, JE Hooper, ... Science signaling 11 (557), eaau7632, 2018 | 66 | 2018 |
| Myf6/MRF4 is a myogenic niche regulator required for the maintenance of the muscle stem cell pool F Lazure, DM Blackburn, AH Corchado, K Sahinyan, N Karam, ... EMBO reports 21 (12), e49499, 2020 | 63 | 2020 |
| Introduction to machine learning and bioinformatics S Mitra, S Datta, T Perkins, G Michailidis CRC Press, 2008 | 61 | 2008 |
| Trichostatin A enhances vascular repair by injected human endothelial progenitors through increasing the expression of TAL1-dependent genes CG Palii, B Vulesevic, S Fraineau, E Pranckeviciene, AJ Griffith, A Chu, ... Cell Stem Cell 14 (5), 644-657, 2014 | 56 | 2014 |
Michael A. RudnickiOttawa Hospital Research InstituteDirección de correo verificada de ohri.ca
