Year |
Citation |
Score |
2020 |
Gillespie MA, Palii CG, Sanchez-Taltavull D, Shannon P, Longabaugh WJR, Downes DJ, Sivaraman K, Espinoza HM, Hughes JR, Price ND, Perkins TJ, Ranish JA, Brand M. Absolute Quantification of Transcription Factors Reveals Principles of Gene Regulation in Erythropoiesis. Molecular Cell. PMID 32330456 DOI: 10.1016/J.Molcel.2020.03.031 |
0.35 |
|
2019 |
Bashkeel N, Perkins TJ, Kærn M, Lee JM. Human gene expression variability and its dependence on methylation and aging. Bmc Genomics. 20: 941. PMID 31810449 DOI: 10.1186/S12864-019-6308-7 |
0.306 |
|
2018 |
Soleimani VD, Nguyen D, Ramachandran P, Palidwor GA, Porter CJ, Yin H, Perkins TJ, Rudnicki MA. Cis-regulatory determinants of MyoD function. Nucleic Acids Research. PMID 30016497 DOI: 10.1093/Nar/Gky388 |
0.306 |
|
2018 |
Rothberg JLM, Maganti HB, Jrade H, Porter CJ, Palidwor GA, Cafariello C, Battaion HL, Khan ST, Perkins TJ, Paulson RF, Ito CY, Stanford WL. Mtf2-PRC2 control of canonical Wnt signaling is required for definitive erythropoiesis. Cell Discovery. 4: 21. PMID 29736258 DOI: 10.1038/S41421-018-0022-5 |
0.318 |
|
2017 |
Ramachandran P, Sánchez-Taltavull D, Perkins TJ. Uncovering robust patterns of microRNA co-expression across cancers using Bayesian Relevance Networks. Plos One. 12: e0183103. PMID 28817636 DOI: 10.1371/journal.pone.0183103 |
0.331 |
|
2017 |
Chen Z, Chang WY, Etheridge A, Strickfaden H, Jin Z, Palidwor G, Cho JH, Wang K, Kwon SY, Doré C, Raymond A, Hotta A, Ellis J, Kandel RA, Dilworth FJ, ... Perkins TJ, et al. Reprogramming progeria fibroblasts re-establishes a normal epigenetic landscape. Aging Cell. PMID 28597562 DOI: 10.1111/Acel.12621 |
0.308 |
|
2017 |
Awdeh A, Phenix H, Kaern M, Perkins T. Dynamics in Epistasis Analysis. Ieee/Acm Transactions On Computational Biology and Bioinformatics. PMID 28092574 DOI: 10.1109/Tcbb.2017.2653110 |
0.326 |
|
2016 |
Sánchez-Taltavull D, Ramachandran P, Lau N, Perkins TJ. Bayesian Correlation Analysis for Sequence Count Data. Plos One. 11: e0163595. PMID 27701449 DOI: 10.1371/Journal.Pone.0163595 |
0.319 |
|
2015 |
Ramachandran P, Palidwor GA, Perkins TJ. BIDCHIPS: bias decomposition and removal from ChIP-seq data clarifies true binding signal and its functional correlates. Epigenetics & Chromatin. 8: 33. PMID 26388941 DOI: 10.1186/S13072-015-0028-2 |
0.347 |
|
2015 |
Cassar PA, Carpenedo RL, Samavarchi-Tehrani P, Olsen JB, Park CJ, Chang WY, Chen Z, Choey C, Delaney S, Guo H, Guo H, Tanner RM, Perkins TJ, Tenenbaum SA, Emili A, et al. Integrative genomics positions MKRN1 as a novel ribonucleoprotein within the embryonic stem cell gene regulatory network. Embo Reports. 16: 1334-57. PMID 26265008 DOI: 10.15252/Embr.201540974 |
0.346 |
|
2015 |
Ghadie MA, Japkowicz N, Perkins TJ. Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach. Bioinformatics (Oxford, England). PMID 25847008 DOI: 10.1093/Bioinformatics/Btv192 |
0.334 |
|
2015 |
Jahani-Asl A, Yin H, Soleimani V, Chang N, Sincennes M, Luchman HA, Sidharth P, Scott A, Lorimer I, Perkins T, Ligon K, Weiss S, Rudnicki M, Bonni A. CSIG-06EGFRvIII REQUIRES OSMR AS A CO-RECEPTOR TO DRIVE GLIOBLASTOMA PATHOGENESIS Neuro-Oncology. 17: v67.2-v67. DOI: 10.1093/Neuonc/Nov210.06 |
0.314 |
|
2014 |
Palii CG, Vulesevic B, Fraineau S, Pranckeviciene E, Griffith AJ, Chu A, Faralli H, Li Y, McNeill B, Sun J, Perkins TJ, Dilworth FJ, Perez-Iratxeta C, Suuronen EJ, Allan DS, et al. Trichostatin A enhances vascular repair by injected human endothelial progenitors through increasing the expression of TAL1-dependent genes. Cell Stem Cell. 14: 644-57. PMID 24792117 DOI: 10.1016/J.Stem.2014.03.003 |
0.306 |
|
2013 |
Phenix H, Perkins T, Kærn M. Identifiability and inference of pathway motifs by epistasis analysis Chaos. 23. PMID 23822501 DOI: 10.1063/1.4807483 |
0.344 |
|
2012 |
Soleimani VD, Punch VG, Kawabe Y, Jones AE, Palidwor GA, Porter CJ, Cross JW, Carvajal JJ, Kockx CE, van IJcken WF, Perkins TJ, Rigby PW, Grosveld F, Rudnicki MA. Transcriptional dominance of Pax7 in adult myogenesis is due to high-affinity recognition of homeodomain motifs. Developmental Cell. 22: 1208-20. PMID 22609161 DOI: 10.1016/J.Devcel.2012.03.014 |
0.312 |
|
2012 |
Iacucci E, Zingg HH, Perkins TJ. Methods for Determining the Statistical Significance of Enrichment or Depletion of Gene Ontology Classifications under Weighted Membership. Frontiers in Genetics. 3: 24. PMID 22375144 DOI: 10.3389/Fgene.2012.00024 |
0.35 |
|
2011 |
Phenix H, Morin K, Batenchuk C, Parker J, Abedi V, Yang L, Tepliakova L, Perkins TJ, Kærn M. Quantitative epistasis analysis and pathway inference from genetic interaction data. Plos Computational Biology. 7: e1002048. PMID 21589890 DOI: 10.1371/Journal.Pcbi.1002048 |
0.359 |
|
2010 |
Summer G, Perkins TJ. Functional data analysis for identifying nonlinear models of gene regulatory networks. Bmc Genomics. 11: S18. PMID 21143801 DOI: 10.1186/1471-2164-11-S4-S18 |
0.354 |
|
2010 |
Perkins TJ, Wilds R, Glass L. Robust dynamics in minimal hybrid models of genetic networks. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 368: 4961-75. PMID 20921006 DOI: 10.1098/Rsta.2010.0139 |
0.352 |
|
2010 |
Song C, Phenix H, Abedi V, Scott M, Ingalls BP, Kaern M, Perkins TJ. Estimating the stochastic bifurcation structure of cellular networks. Plos Computational Biology. 6: e1000699. PMID 20221261 DOI: 10.1371/Journal.Pcbi.1000699 |
0.348 |
|
2010 |
Perkins TJ, Hallett MT. A trade-off between sample complexity and computational complexity in learning Boolean networks from time-series data. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 7: 118-25. PMID 20150674 DOI: 10.1109/Tcbb.2008.38 |
0.335 |
|
2009 |
Zamparo L, Perkins TJ. Statistical lower bounds on protein copy number from fluorescence expression images. Bioinformatics (Oxford, England). 25: 2670-6. PMID 19574287 DOI: 10.1093/Bioinformatics/Btp415 |
0.321 |
|
2008 |
Cory SM, Perkins TJ. Implementing arithmetic and other analytic operations by transcriptional regulation. Plos Computational Biology. 4: e1000064. PMID 18437243 DOI: 10.1371/Journal.Pcbi.1000064 |
0.355 |
|
2007 |
Perkins TJ. The gap gene system of Drosophila melanogaster: model-fitting and validation. Annals of the New York Academy of Sciences. 1115: 116-31. PMID 17934052 DOI: 10.1196/Annals.1407.015 |
0.366 |
|
2007 |
Libby E, Perkins TJ, Swain PS. Noisy information processing through transcriptional regulation. Proceedings of the National Academy of Sciences of the United States of America. 104: 7151-6. PMID 17420464 DOI: 10.1073/Pnas.0608963104 |
0.336 |
|
2006 |
Perkins TJ, Jaeger J, Reinitz J, Glass L. Reverse engineering the gap gene network of Drosophila melanogaster. Plos Computational Biology. 2: e51. PMID 16710449 DOI: 10.1371/Journal.Pcbi.0020051 |
0.375 |
|
2006 |
Perkins TJ, Hallett M, Glass L. Dynamical properties of model gene networks and implications for the inverse problem. Bio Systems. 84: 115-23. PMID 16386356 DOI: 10.1016/J.Biosystems.2005.09.010 |
0.335 |
|
2005 |
Scott MS, Perkins T, Bunnell S, Pepin F, Thomas DY, Hallett M. Identifying regulatory subnetworks for a set of genes. Molecular & Cellular Proteomics : McP. 4: 683-92. PMID 15722371 DOI: 10.1074/Mcp.M400110-Mcp200 |
0.342 |
|
2005 |
Glass L, Perkins TJ, Mason J, Siegelmann HT, Edwards R. Chaotic dynamics in an electronic model of a genetic network Journal of Statistical Physics. 121: 989-994. DOI: 10.1007/S10955-005-7009-Y |
0.324 |
|
2004 |
Perkins TJ, Hallett M, Glass L. Inferring models of gene expression dynamics. Journal of Theoretical Biology. 230: 289-99. PMID 15302539 DOI: 10.1016/J.Jtbi.2004.05.022 |
0.357 |
|
2003 |
Perkins TJ, Barto AG. Lyapunov design for safe reinforcement learning Journal of Machine Learning Research. 3: 803-832. |
0.465 |
|
2001 |
Perkins TJ, Barto AG. Heuristic search in infinite state spaces guided by Lyapunov analysis Ijcai International Joint Conference On Artificial Intelligence. 242-247. |
0.461 |
|
1999 |
Moll R, Barto AG, Perkins TJ, Sutton RS. Learning instance-independent value functions to enhance local search Advances in Neural Information Processing Systems. 1017-1023. |
0.563 |
|
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