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Devin C. Koestler
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2020 – today
- 2023
- [j10]Dong Pei
, Rachel Griffard
optima: an open-source R package for the Tapestri platform for integrative single cell multiomics data analysis. Bioinform. 39(10) (2023) - [j9]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) - 2022
- [j8]Bo Zhang
Letter to the Editor: on the stability and internal consistency of component-wise sparse mixture regression-based clustering. Briefings Bioinform. 23(1) (2022) - [j7]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) - [j6]Lisa Neums, Devin C. Koestler
Assessing equivalent and inverse change in genes between diverse experiments. Frontiers Bioinform. 2 (2022) - 2020
- [c1]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
- [j5]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
- [j4]Qian Li
Subject level clustering using a negative binomial model for small transcriptomic studies. BMC Bioinform. 19(1): 474:1-474:10 (2018) - [i2]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) - 2016
- [j3]Devin C. Koestler
Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL). BMC Bioinform. 17: 120 (2016) - [i1]Richard Meier, Stefan Graw
An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Research 5: 2677 (2016) - 2012
- [j2]Eugene Andres Houseman
DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinform. 13: 86 (2012) - 2010
- [j1]Devin C. Koestler
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes. Bioinform. 26(20): 2578-2585 (2010)
Coauthor Index
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