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Jeffrey A. Thompson
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2020 – today
- 2023
- [j4]Samuel Boyd, Chad Slawson, Jeffrey A. Thompson
:
AMEND: active module identification using experimental data and network diffusion. BMC Bioinform. 24(1): 277 (2023) - 2022
- [j3]Shelby Bell-Glenn, Jeffrey A. Thompson
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures. Frontiers Bioinform. 2 (2022) - [j2]Lisa Neums, Devin C. Koestler
Assessing equivalent and inverse change in genes between diverse experiments. Frontiers Bioinform. 2 (2022) - 2020
- [c8]Lisa Neums, Richard Meier, Devin C. Koestler, Jeffrey A. Thompson:
Improving Survival Prediction Using a Novel Feature Selection and Feature Reduction FrameworkBased on the Integration of Clinical and Molecular Data. PSB 2020: 415-426
2010 – 2019
- 2019
- [j1]Stefan Graw
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS). BMC Bioinform. 20(1): 218:1-218:11 (2019) - 2018
- [i1]Jeffrey A. Thompson, Jinxiang Hu, Dinesh Pal Mudaranthakam, David Streeter, Lisa Neums, Michele Park, Devin C. Koestler, Byron Gajewski, Matthew S. Mayo:
Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Healthcare Records. CoRR abs/1812.02627 (2018) - 2017
- [c7]Jeffrey A. Thompson, Carmen J. Marsit:
A Methylation-to-Expression Feature Model for Generating Accurate Prognostic Risk Scores and Identifying Disease Targets in Clear Cell Kidney Cancer. PSB 2017: 509-520 - 2014
- [c6]Jeffrey A. Thompson, Christine Duarte, Peter Marks, Clare Bates Congdon:
An automated pipeline for discovering gene expression patterns associated with increased cancer survival time. BCB 2014: 627-628 - [c5]Jeffrey A. Thompson, Craig R. Lessard, Samuel McFarland, Robert L. Morris, Clare Bates Congdon:
A workflow for the computational identification of candidate regulatory elements in noncoding DNA. BCB 2014: 643-644 - [c4]Jeffrey A. Thompson
GAMI-CRM: Using de novo motif inference to detect cis-regulatory modules. IEEE Congress on Evolutionary Computation 2014: 1022-1029 - 2013
- [c3]Jeffrey A. Thompson, Clare Bates Congdon:
Initial Results In Using de Novo Motif Inference to Detect Cis-Regulatory Modules. BCB 2013: 687 - [c2]Jeffrey A. Thompson
An exploration into improving DNA motif inference by looking for highly conserved core regions. CIBCB 2013: 60-67 - 2011
- [c1]Jeffrey A. Thompson, Clare Bates Congdon:
Using genetic algorithms for the inference of motifs that are represented in only a subset of sequences of interest. BIBM Workshops 2011: 1005
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