Devin C. Koestler

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 11

Top Topics

Biologically Meaningful

Survival Prediction

Proportional Hazards Model

Top Venues

Frontiers Bioinform.

Publications

Dong Pei, Rachel Griffard, Nanda Kumar Yellapu, Emily Nissen, Devin C. Koestler
optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis. Bioinform. 39 (10) (2023)
Jennifer L. Delzeit, Devin C. Koestler
Simulating time-to-event data under the Cox proportional hazards model: assessing the performance of the non-parametric Flexible Hazards Method. Frontiers Appl. Math. Stat. 9 (2023)
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
Assessing equivalent and inverse change in genes between diverse experiments. Frontiers Bioinform. 2 (2022)
Bo Zhang, Jianghua He, Jinxiang Hu, Devin C. Koestler, Prabhakar Chalise
Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression-based clustering. Briefings Bioinform. 23 (1) (2022)
Shelby Bell-Glenn, Jeffrey A. Thompson, Lucas A. Salas, Devin C. Koestler
A Novel Framework for the Identification of Reference DNA Methylation Libraries for Reference-Based Deconvolution of Cellular Mixtures. Frontiers Bioinform. 2 (2022)
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)
Stefan Graw, Rosalyn Henn, Jeffrey A. Thompson, Devin C. Koestler
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS). BMC Bioinform. 20 (1) (2019)
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 (2018)
Qian Li, Janelle R. Noel-MacDonnell, Devin C. Koestler, Ellen L. Goode, Brooke L. Fridley
Subject level clustering using a negative binomial model for small transcriptomic studies. BMC Bioinform. 19 (1) (2018)
Richard Meier, Stefan Graw, Joseph Usset, Rama Raghavan, Junqiang Dai, Prabhakar Chalise, Shellie Ellis, Brooke L. Fridley, Devin C. Koestler
An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Research 5 (2016)
Devin C. Koestler, Meaghan J. Jones, Joseph Usset, Brock C. Christensen, Rondi A. Butler, Michael S. Kobor, John K. Wiencke, Karl T. Kelsey
Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL). BMC Bioinform. 17 (2016)
Eugene Andres Houseman, William P. Accomando, Devin C. Koestler, Brock C. Christensen, Carmen J. Marsit, Heather H. Nelson, John K. Wiencke, Karl T. Kelsey
DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinform. 13 (2012)
Devin C. Koestler, Carmen J. Marsit, Brock C. Christensen, Margaret R. Karagas, Raphael Bueno, David J. Sugarbaker, Karl T. Kelsey, Eugene Andres Houseman
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes. Bioinform. 26 (20) (2010)