Theodore J. Perkins, Ph.D.
Affiliations: | University of Massachusetts, Amherst, Amherst, MA |
Area:
Reinforcement LearningGoogle:
"Theodore Perkins"Mean distance: 16.58 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Andrew G. Barto | grad student | 2002 | U Mass Amherst | |
| (Lyapunov methods for safe intelligent agent design.) | ||||
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Publications
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| Gillespie MA, Palii CG, Sanchez-Taltavull D, et al. (2020) Absolute Quantification of Transcription Factors Reveals Principles of Gene Regulation in Erythropoiesis. Molecular Cell |
| Bashkeel N, Perkins TJ, Kærn M, et al. (2019) Human gene expression variability and its dependence on methylation and aging. Bmc Genomics. 20: 941 |
| Soleimani VD, Nguyen D, Ramachandran P, et al. (2018) Cis-regulatory determinants of MyoD function. Nucleic Acids Research |
| Rothberg JLM, Maganti HB, Jrade H, et al. (2018) Mtf2-PRC2 control of canonical Wnt signaling is required for definitive erythropoiesis. Cell Discovery. 4: 21 |
| Ramachandran P, Sánchez-Taltavull D, Perkins TJ. (2017) Uncovering robust patterns of microRNA co-expression across cancers using Bayesian Relevance Networks. Plos One. 12: e0183103 |
| Chen Z, Chang WY, Etheridge A, et al. (2017) Reprogramming progeria fibroblasts re-establishes a normal epigenetic landscape. Aging Cell |
| Awdeh A, Phenix H, Kaern M, et al. (2017) Dynamics in Epistasis Analysis. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
| Sánchez-Taltavull D, Ramachandran P, Lau N, et al. (2016) Bayesian Correlation Analysis for Sequence Count Data. Plos One. 11: e0163595 |
| Ramachandran P, Palidwor GA, Perkins TJ. (2015) BIDCHIPS: bias decomposition and removal from ChIP-seq data clarifies true binding signal and its functional correlates. Epigenetics & Chromatin. 8: 33 |
| Cassar PA, Carpenedo RL, Samavarchi-Tehrani P, et al. (2015) Integrative genomics positions MKRN1 as a novel ribonucleoprotein within the embryonic stem cell gene regulatory network. Embo Reports. 16: 1334-57 |