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ORCIDBrett A. McKinney
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- affiliation: University of Tulsa, OK, USA
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2020 – today
- 2024
[c6]Hamideh Khaleghpour, Brett A. McKinney:
Optimizing Neuro-Fuzzy and Colonial Competition Algorithms for Skin Cancer Diagnosis in Dermatoscopic Images. ICICT 2024: 166-172- 2023
- [c5]Abim Sedhain
, Yao Wang, Brett A. McKinney, Sandeep Kaur Kuttal:
Modeling Foraging Behavior in GitHub. HCI (45) 2023: 149-155 - 2022
- [c4]Ian Riley, Brett A. McKinney, Rose F. Gamble:
Improving the Expected Performance of Self-Organization in a Collective Adaptive System of Drones using Stochastic Multiplayer Games. HICSS 2022: 1-10 - [c3]Abim Sedhain, Sruti Srinivasa Ragavan, Brett A. McKinney, Sandeep Kaur Kuttal:
Estimating Foraging Values and Costs in Stack Overflow. VL/HCC 2022: 1-4 - 2020
- [j11]Trang T. Le, Bryan A. Dawkins, Brett A. McKinney:
Nearest-neighbor Projected-Distance Regression (NPDR) for detecting network interactions with adjustments for multiple tests and confounding. Bioinform. 36(9): 2770-2777 (2020) - [j10]Saeid Parvandeh, Hung-Wen Yeh, Martin P. Paulus, Brett A. McKinney:
Consensus features nested cross-validation. Bioinform. 36(10): 3093-3098 (2020)
2010 – 2019
- 2019
- [j9]Trang T. Le, Ryan J. Urbanowicz, Jason H. Moore, Brett A. McKinney:
STatistical Inference Relief (STIR) feature selection. Bioinform. 35(8): 1358-1365 (2019) - [j8]Saeid Parvandeh, Brett A. McKinney:
EpistasisRank and EpistasisKatz: interaction network centrality methods that integrate prior knowledge networks. Bioinform. 35(13): 2329-2331 (2019) - 2018
- [j7]M. Arabnejad, Bryan A. Dawkins, William S. Bush, Bill C. White, A. R. Harkness, Brett A. McKinney:
Transition-transversion encoding and genetic relationship metric in ReliefF feature selection improves pathway enrichment in GWAS. BioData Min. 11(1): 23:1-23:17 (2018) - 2017
- [j6]Trang T. Le, W. Kyle Simmons, Masaya Misaki, Jerzy Bodurka, Bill C. White, Jonathan Savitz, Brett A. McKinney:
Differential privacy-based evaporative cooling feature selection and classification with relief-F and random forests. Bioinform. 33(18): 2906-2913 (2017) - 2015
- [j5]Caleb A. Lareau, Bill C. White, Ann L. Oberg, Brett A. McKinney:
Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure. BioData Min. 8: 5 (2015) - 2013
- [c2]Clay Carley, Larry Sells, Brett A. McKinney, Chao Zhao, Henry Neeman:
Using a shared, remote cluster for teaching HPC. CLUSTER 2013: 1-6 - 2012
- [j4]Philip Crooke, John Hotchkiss, Yongwimon Lenbury, Brett A. McKinney:
Mathematical Modeling of Patient Care. Comput. Math. Methods Medicine 2012: 563287:1-563287:2 (2012) - 2011
- [j3]Nicholas A. Davis, Ahwan Pandey, Brett A. McKinney:
Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS. Bioinform. 27(2): 284-285 (2011)
2000 – 2009
- 2008
- [j2]William S. Bush, Todd L. Edwards, Scott M. Dudek, Brett A. McKinney, Marylyn D. Ritchie:
Alternative contingency table measures improve the power and detection of multifactor dimensionality reduction. BMC Bioinform. 9 (2008) - 2007
- [j1]Brett A. McKinney, David M. Reif, Bill C. White, James E. Crowe Jr., Jason H. Moore:
Evaporative cooling feature selection for genotypic data involving interactions. Bioinform. 23(16): 2113-2120 (2007) - 2006
- [c1]David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore:
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. CIBCB 2006: 1-8
Coauthor Index
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