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Devin C Koestler

Showing results (1-10 of 162) with videos related to

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BMC Genomics|February 26, 2020
Equivalent change enrichment analysis: assessing equivalent and inverse change in biological pathways between diverse experimentsJeffrey A Thompson, Devin C Koestler
BMC Medical Research Methodology|June 1, 2013
Ensemble-based methods for forecasting census in hospital unitsDevin C Koestler, Hernando Ombao, Jesse Bender
Statistical Applications in Genetics and Molecular Biology|August 11, 2021
Low variability in the underlying cellular landscape adversely affects the performance of interaction-based approaches for conducting cell-specific analyses of DNA methylation in bulk samplesRichard Meier, Emily Nissen, Devin C Koestler
Statistical Applications in Genetics and Molecular Biology|October 10, 2022
<i>pwrBRIDGE</i>: a user-friendly web application for power and sample size estimation in batch-confounded microarray studies with dependent samplesQing Xia, Jeffrey A Thompson, Devin C Koestler
Statistical Applications in Genetics and Molecular Biology|December 14, 2021
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)Qing Xia, Jeffrey A Thompson, Devin C Koestler
Statistics in Medicine|September 8, 2025
Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction EffectsKazi Md Farhad Mahmud, Yanming Li, Devin C Koestler
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Improving survival prediction using a novel feature selection and feature reduction framework based on the integration of clinical and molecular dataLisa Neums, Richard Meier, Devin C Koestler, et al.
BMC Bioinformatics|May 1, 2019
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)Stefan Graw, Rosalyn Henn, Jeffrey A Thompson, et al.
Scientific Reports|March 6, 2019
Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression ProfileMatthew Shew, Jacob New, Helena Wichova, et al.
Statistical Applications in Genetics and Molecular Biology|July 25, 2023
Improving the accuracy and internal consistency of regression-based clustering of high-dimensional datasetsBo Zhang, Jianghua He, Jinxiang Hu, et al.
Pageof 17

Showing results (1-10 of 162) with videos related to

Sort By:
Pageof 17
BMC Genomics|February 26, 2020
Equivalent change enrichment analysis: assessing equivalent and inverse change in biological pathways between diverse experimentsJeffrey A Thompson, Devin C Koestler
BMC Medical Research Methodology|June 1, 2013
Ensemble-based methods for forecasting census in hospital unitsDevin C Koestler, Hernando Ombao, Jesse Bender
Statistical Applications in Genetics and Molecular Biology|August 11, 2021
Low variability in the underlying cellular landscape adversely affects the performance of interaction-based approaches for conducting cell-specific analyses of DNA methylation in bulk samplesRichard Meier, Emily Nissen, Devin C Koestler
Statistical Applications in Genetics and Molecular Biology|October 10, 2022
<i>pwrBRIDGE</i>: a user-friendly web application for power and sample size estimation in batch-confounded microarray studies with dependent samplesQing Xia, Jeffrey A Thompson, Devin C Koestler
Statistical Applications in Genetics and Molecular Biology|December 14, 2021
Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)Qing Xia, Jeffrey A Thompson, Devin C Koestler
Statistics in Medicine|September 8, 2025
Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction EffectsKazi Md Farhad Mahmud, Yanming Li, Devin C Koestler
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Improving survival prediction using a novel feature selection and feature reduction framework based on the integration of clinical and molecular dataLisa Neums, Richard Meier, Devin C Koestler, et al.
BMC Bioinformatics|May 1, 2019
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)Stefan Graw, Rosalyn Henn, Jeffrey A Thompson, et al.
Scientific Reports|March 6, 2019
Using Machine Learning to Predict Sensorineural Hearing Loss Based on Perilymph Micro RNA Expression ProfileMatthew Shew, Jacob New, Helena Wichova, et al.
Statistical Applications in Genetics and Molecular Biology|July 25, 2023
Improving the accuracy and internal consistency of regression-based clustering of high-dimensional datasetsBo Zhang, Jianghua He, Jinxiang Hu, et al.
Pageof 17