Brett A. McKinney

发表

STatistical Inference Relief (STIR) feature selection

Jason H. Moore, Ryan J. Urbanowicz, Trang T. Le, 2018, bioRxiv.

Statistical Inference Relief (STIR) feature selection

Jason H. Moore, Ryan J. Urbanowicz, Trang T. Le, 2018 .

Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure

Bill C. White, Brett A. McKinney, Caleb A. Lareau, 2015, BioData Mining.

Recursive Indirect-Paths Modularity (RIP-M) for Detecting Community Structure in RNA-Seq Co-expression Networks

Bill C. White, Michael T. Zimmermann, Brett A. McKinney, 2016, Front. Genet..

Consensus Features Nested Cross-Validation

Brett A. McKinney, Martin P. Paulus, Saeid Parvandeh, 2020, bioRxiv.

Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2008, BMC Bioinformatics.

Evaporative cooling feature selection for genotypic data involving interactions

Jason H. Moore, Bill C. White, David M. Reif, 2007, Bioinform..

Differential privacy‐based evaporative cooling feature selection and classification with relief‐F and random forests

Bill C. White, Trang T. Le, Brett A. McKinney, 2017, Bioinform..

Mathematical Modeling of Patient Care

Yongwimon Lenbury, Philip Crooke, Brett A. McKinney, 2012, Comput. Math. Methods Medicine.

Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding

Trang T. Le, Brett A. McKinney, Bryan A Dawkins, 2019, bioRxiv.

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Brett A. McKinney, Nicholas A. Davis, Ahwan Pandey, 2011, Bioinform..

Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types

Jason H. Moore, David M. Reif, Brett A. McKinney, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Using a shared, remote cluster for teaching HPC

Chao Zhao, Brett A. McKinney, Henry Neeman, 2013, 2013 IEEE International Conference on Cluster Computing (CLUSTER).

Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS

Bill C. White, William S. Bush, Brett A. McKinney, 2018, BioData Mining.

Functional Maturation of the Human Antibody Response to Rotavirus1

Brett A. McKinney, James E. Crowe, B. McKinney, 2008, The Journal of Immunology.

Tissue-Specific Expressed Antibody Variable Gene Repertoires

Brett A. McKinney, James E. Crowe, Jordan R. Willis, 2014, PloS one.

A Nonlinear Simulation Framework Supports Adjusting for Age When Analyzing BrainAGE

Wesley K. Thompson, Trang T. Le, Brett A. McKinney, 2018, bioRxiv.

Random forest regression prediction of solid particle Erosion in elbows

Brett A. McKinney, Siamack A. Shirazi, Brenton S. McLaury, 2018, Powder Technology.

ReliefSeq: A Gene-Wise Adaptive-K Nearest-Neighbor Feature Selection Tool for Finding Gene-Gene Interactions and Main Effects in mRNA-Seq Gene Expression Data

Bill C. White, Brett A. McKinney, Gregory A. Poland, 2013, PloS one.