Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance SM Shaffer, MC Dunagin, SR Torborg, EA Torre, B Emert, C Krepler, ... Nature 546 (7658), 431-435, 2017 | 1119 | 2017 |
Transcriptional burst frequency and burst size are equally modulated across the human genome RD Dar, BS Razooky, A Singh, TV Trimeloni, JM McCollum, CD Cox, ... Proceedings of the National Academy of Sciences 109 (43), 17454-17459, 2012 | 530 | 2012 |
Single mammalian cells compensate for differences in cellular volume and DNA copy number through independent global transcriptional mechanisms O Padovan-Merhar, GP Nair, AG Biaesch, A Mayer, S Scarfone, SW Foley, ... Molecular cell 58 (2), 339-352, 2015 | 481 | 2015 |
Transcriptional bursting from the HIV-1 promoter is a significant source of stochastic noise in HIV-1 gene expression A Singh, B Razooky, CD Cox, ML Simpson, LS Weinberger Biophysical journal 98 (8), L32-L34, 2010 | 273 | 2010 |
Approximate moment dynamics for chemically reacting systems A Singh, J Hespanha Automatic Control, IEEE Transactions on, 1-1, 2011 | 249 | 2011 |
Stochastic models for chemically reacting systems using polynomial stochastic hybrid systems JP Hespanha, A Singh International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2005 | 200 | 2005 |
Memory sequencing reveals heritable single-cell gene expression programs associated with distinct cellular behaviors SM Shaffer, BL Emert, RAR Hueros, C Cote, G Harmange, DL Schaff, ... Cell 182 (4), 947-959. e17, 2020 | 170 | 2020 |
Ploidy and size at multiple scales in the Arabidopsis sepal DO Robinson, JE Coate, A Singh, L Hong, M Bush, JJ Doyle, AHK Roeder The Plant Cell 30 (10), 2308-2329, 2018 | 157 | 2018 |
Stochastic gene expression as a molecular switch for viral latency A Singh, LS Weinberger Current opinion in microbiology 12 (4), 460-466, 2009 | 155 | 2009 |
Transcriptional bursting in gene expression: analytical results for general stochastic models N Kumar, A Singh, RV Kulkarni PLoS computational biology 11 (10), e1004292, 2015 | 154 | 2015 |
Stochastic hybrid systems for studying biochemical processes A Singh, JP Hespanha Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2010 | 149 | 2010 |
Optimal feedback strength for noise suppression in autoregulatory gene networks A Singh, JP Hespanha Biophysical journal 96 (10), 4013-4023, 2009 | 138 | 2009 |
Intercellular variability in protein levels from stochastic expression and noisy cell cycle processes M Soltani, CA Vargas-Garcia, D Antunes, A Singh PLoS computational biology 12 (8), e1004972, 2016 | 126 | 2016 |
Quantifying intrinsic and extrinsic variability in stochastic gene expression models A Singh, M Soltani Plos one 8 (12), e84301, 2013 | 120 | 2013 |
Consequences of mRNA transport on stochastic variability in protein levels A Singh, P Bokes Biophysical journal 103 (5), 1087-1096, 2012 | 120 | 2012 |
Dynamics of protein noise can distinguish between alternate sources of gene‐expression variability A Singh, BS Razooky, RD Dar, LS Weinberger Molecular systems biology 8 (1), 607, 2012 | 118 | 2012 |
Negative feedback through mRNA provides the best control of gene-expression noise A Singh IEEE transactions on nanobioscience 10 (3), 194-200, 2011 | 114 | 2011 |
First-passage time approach to controlling noise in the timing of intracellular events KR Ghusinga, JJ Dennehy, A Singh Proceedings of the National Academy of Sciences 114 (4), 693-698, 2017 | 113 | 2017 |
A mechanistic stochastic framework for regulating bacterial cell division KR Ghusinga, CA Vargas-Garcia, A Singh Scientific reports 6 (1), 30229, 2016 | 110 | 2016 |
Lognormal moment closures for biochemical reactions A Singh, JP Hespanha Proceedings of the 45th IEEE Conference on Decision and Control, 2063-2068, 2006 | 109 | 2006 |