Jeffrey A. Thompson

Jeffrey A. Thompson, Clare Bates Congdon, Jeffrey A. Thompson, 2013, 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Trade-offs using GAMID for the inference of DNA motifs that are represented in only a subset of sequences of interest

Jeffrey Thompson, Jeffrey A. Thompson, 2012, GECCO '12.

pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)

Jeffrey A. Thompson, D. Koestler, Stefan Graw, 2019, BMC Bioinformatics.

BCL9/STAT3 regulation of transcriptional enhancer networks promote DCIS progression

D. Edwards, S. Hilsenbeck, Jeffrey A. Thompson, 2020, npj Breast Cancer.

BCL9/STAT3 regulation of transcriptional enhancer networks promote DCIS progression

D. Edwards, S. Hilsenbeck, Jeffrey A. Thompson, 2020, npj Breast Cancer.

pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)

Devin C. Koestler, Jeffrey A. Thompson, Stefan Graw, 2019, BMC Bioinformatics.

Cross-platform normalization of microarray and RNA-seq data for machine learning applications

Jie Tan, Casey S Greene, Jeffrey A Thompson, 2016, PeerJ.

and RNA-seq data for machine learning

Casey S. Greene, Jie Tan, Jeffrey A. Thompson, 2015 .

A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures

Jeffrey A. Thompson, D. Koestler, L. Salas, 2022, Frontiers in Bioinformatics.

Improving Survival Prediction Using a Novel Feature Selection and Feature Reduction FrameworkBased on the Integration of Clinical and Molecular Data

Devin C. Koestler, Jeffrey A. Thompson, Lisa Neums, 2019, PSB.

Artificial neural networks in neurorehabilitation: A scoping review

Kristof Kipp, Abiodun Emmanuel Akinwuntan, Hannes Devos, 2020, medRxiv.

Equivalent Change Enrichment Analysis: Assessing Equivalent and Inverse Change in Genes and Biological Pathways between Diverse Experiments

Devin C. Koestler, Jeffrey A. Thompson, Jeffrey A. Thompson, 2019, bioRxiv.

AMEND: active module identification using experimental data and network diffusion

Jeffrey A. Thompson, C. Slawson, Samuel Boyd, 2023, BMC Bioinformatics.

Equivalent change enrichment analysis: assessing equivalent and inverse change in biological pathways between diverse experiments

Jeffrey A. Thompson, D. Koestler, 2020, BMC Genomics.

Comprehensive exploration of JQ1 and GSK2801 targets in breast cancer using network pharmacology and molecular modelling approaches

Jeffrey A. Thompson, D. Koestler, D. Pei, 2023, Computational and Structural Biotechnology Journal.

Methylation-to-Expression Feature Models of Breast Cancer Accurately Predict Overall Survival, Distant-Recurrence Free Survival, and Pathologic Complete Response in Multiple Cohorts

Jeffrey A. Thompson, B. Christensen, C. Marsit, 2017, bioRxiv.

A Methylation-to-Expression Feature Model for Generating Accurate Prognostic Risk Scores and Identifying Disease Targets in Clear Cell Kidney Cancer

Jeffrey A. Thompson, Carmen J. Marsit, Jeffrey A. Thompson, 2017, PSB.

Cross-platform normalization of microarray 1 and RNA-seq data for machine learning 2 applications

Jeffrey A. Thompson, J. Tan, Casey S. Greene, 2017 .

Perception, knowledge, and interest of urologic surgery: a medical student survey

Jeffrey A. Thompson, T. Griebling, Kerri L. Thurmon, 2019, BMC Medical Education.

Using genetic algorithms for the inference of motifs that are represented in only a subset of sequences of interest

Jeffrey A. Thompson, Clare Bates Congdon, Jeffrey A. Thompson, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records

Dinesh Pal Mudaranthakam, Devin C. Koestler, Matthew S. Mayo, 2019, Scientific Reports.