Devin C. Koestler

发表

Improving the efficiency of clinical trials by standardizing processes for Investigator Initiated Trials

Dinesh Pal Mudaranthakam, Milind A. Phadnis, Ron Krebill, 2020, Contemporary clinical trials communications.

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.

Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)

Devin C. Koestler, John K. Wiencke, Michael S. Kobor, 2016, BMC Bioinformatics.

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.

Correcting for cell-type heterogeneity in epigenome-wide association studies: premature analyses and conclusions

Devin C. Koestler, Rafael A. Irizarry, Andrew E. Teschendorff, 2017, bioRxiv.

Semisupervised Methods for Analyzing High‐dimensional Genomic Data

Devin C. Koestler, D. Koestler, 2013 .

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.

DNA methylation arrays as surrogate measures of cell mixture distribution

Devin C. Koestler, John K. Wiencke, E. Andres Houseman, 2012, BMC Bioinformatics.

Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data

Devin C. Koestler, John K. Wiencke, Karl T. Kelsey, 2019 .

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.

Semi-supervised recursively partitioned mixture models for identifying cancer subtypes

Devin C. Koestler, Margaret R. Karagas, E. Andres Houseman, 2010, Bioinform..

Subject level clustering using a negative binomial model for small transcriptomic studies

Devin C. Koestler, Qian Li, Brooke L. Fridley, 2018, BMC Bioinformatics.

Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach

Jung-Hsien Chiang, Devin C. Koestler, Celine Vens, 2018, bioRxiv.