Jeffrey A. Thompson

According to our database1, Jeffrey A. Thompson authored at least 13 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
AMEND: active module identification using experimental data and network diffusion.
BMC Bioinform., December, 2023

2022
Assessing equivalent and inverse change in genes between diverse experiments.
Frontiers Bioinform., 2022

A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures.
Frontiers Bioinform., 2022

2020
Improving Survival Prediction Using a Novel Feature Selection and Feature Reduction FrameworkBased on the Integration of Clinical and Molecular Data.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS).
BMC Bioinform., 2019

2018
Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Healthcare Records.
CoRR, 2018

2017
A Methylation-to-Expression Feature Model for Generating Accurate Prognostic Risk Scores and Identifying Disease Targets in Clear Cell Kidney Cancer.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2014
GAMI-CRM: Using de novo motif inference to detect cis-regulatory modules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A workflow for the computational identification of candidate regulatory elements in noncoding DNA.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

An automated pipeline for discovering gene expression patterns associated with increased cancer survival time.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
An exploration into improving DNA motif inference by looking for highly conserved core regions.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

Initial Results In Using de Novo Motif Inference to Detect Cis-Regulatory Modules.
Proceedings of the ACM Conference on Bioinformatics, 2013

2011
Using genetic algorithms for the inference of motifs that are represented in only a subset of sequences of interest.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011


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