Semi-supervised recursively partitioned mixture models for identifying cancer subtypes. - Devin C. Koestler; Carmen J. Marsit; Brock C. Christensen; Margaret R. Karagas; Raphael Bueno; David J. Sugarbaker; Karl T. Kelsey; Eugene Andres Houseman (Bioinform., 2010)

DNA methylation arrays as surrogate measures of cell mixture distribution. - Eugene Andres Houseman; William P. Accomando; Devin C. Koestler; Brock C. Christensen; Carmen J. Marsit; Heather H. Nelson; John K. Wiencke; Karl T. Kelsey (BMC Bioinform., 2012)

Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL). - Devin C. Koestler; Meaghan J. Jones; Joseph Usset; Brock C. Christensen; Rondi A. Butler; Michael S. Kobor; John K. Wiencke; Karl T. Kelsey (BMC Bioinform., 2016)

An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. - Richard Meier; Stefan Graw; Joseph Usset; Rama Raghavan 002; Junqiang Dai; Prabhakar Chalise; Shellie Ellis; Brooke L. Fridley; Devin C. Koestler (F1000Research, 2016)

Subject level clustering using a negative binomial model for small transcriptomic studies. - Qian Li 023; Janelle R. Noel-MacDonnell; Devin C. Koestler; Ellen L. Goode; Brooke L. Fridley (BMC Bioinform., 2018)

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Healthcare Records. - Jeffrey A. Thompson; Jinxiang Hu; Dinesh Pal Mudaranthakam; David Streeter; Lisa Neums; Michele Park; Devin C. Koestler; Byron Gajewski; Matthew S. Mayo (CoRR, 2018)

pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS). - Stefan Graw; Rosalyn Henn; Jeffrey A. Thompson; Devin C. Koestler (BMC Bioinform., 2019)

Improving Survival Prediction Using a Novel Feature Selection and Feature Reduction FrameworkBased on the Integration of Clinical and Molecular Data. - Lisa Neums; Richard Meier; Devin C. Koestler; Jeffrey A. Thompson (PSB, 2020)

Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression-based clustering. - Bo Zhang; Jianghua He; Jinxiang Hu; Devin C. Koestler; Prabhakar Chalise (Briefings Bioinform., 2022)

A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures. - Shelby Bell-Glenn; Jeffrey A. Thompson; Lucas A. Salas; Devin C. Koestler (Frontiers Bioinform., 2022)

Assessing equivalent and inverse change in genes between diverse experiments. - Lisa Neums; Devin C. Koestler; Qing Xia; Jinxiang Hu; Shachi Patel; Shelby Bell-Glenn; Dong Pei; Bo Zhang; Samuel Boyd; Prabhakar Chalise; Jeffrey A. Thompson (Frontiers Bioinform., 2022)

Simulating time-to-event data under the Cox proportional hazards model: assessing the performance of the non-parametric Flexible Hazards Method. - Jennifer L. Delzeit; Devin C. Koestler (Frontiers Appl. Math. Stat., 2023)

optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis. - Dong Pei; Rachel Griffard; Nanda Kumar Yellapu; Emily Nissen; Devin C. Koestler (Bioinform., 2023)