A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis. - Benjamin A. Logsdon; Gabriel E. Hoffman; Jason G. Mezey (BMC Bioinform., 2010)

Gene Expression Network Reconstruction by Convex Feature Selection when Incorporating Genetic Perturbations. - Benjamin A. Logsdon; Jason G. Mezey (PLoS Comput. Biol., 2010)

A novel variational Bayes multiple locus Z-statistic for genome-wide association studies with Bayesian model averaging. - Benjamin A. Logsdon; Cara L. Carty; Alexander P. Reiner; James Y. Dai; Charles L. Kooperberg (Bioinform., 2012)

Mouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive control. - Benjamin A. Logsdon; Gabriel E. Hoffman; Jason G. Mezey (BMC Bioinform., 2012)

Improving Breast Cancer Survival Analysis through Competition-Based Multidimensional Modeling. - Erhan Bilal; Janusz Dutkowski; Justin Guinney; In Sock Jang; Benjamin A. Logsdon; Gaurav Pandey 002; Benjamin A. Sauerwine; Yishai Shimoni; Hans Kristian Moen Vollan; Brigham H. Mecham; Oscar M. Rueda; Jorg Tost; et al. (PLoS Comput. Biol., 2013)

PUMA: A Unified Framework for Penalized Multiple Regression Analysis of GWAS Data. - Gabriel E. Hoffman; Benjamin A. Logsdon; Jason G. Mezey (PLoS Comput. Biol., 2013)

Efficient Dimensionality Reduction for High-Dimensional Network Estimation. - Safiye Celik; Benjamin A. Logsdon; Su-In Lee (ICML, 2014)

Identifying Network Perturbation in Cancer. - Maxim Grechkin; Benjamin A. Logsdon; Andrew J. Gentles; Su-In Lee (PLoS Comput. Biol., 2016)

Identifying and ranking potential driver genes of Alzheimer's disease using multiview evidence aggregation. - Sumit Mukherjee; Thanneer M. Perumal; Kenneth Daily; Solveig K. Sieberts; Larsson Omberg; Christoph Preuss; Gregory W. Carter; Lara M. Mangravite; Benjamin A. Logsdon (Bioinform., 2019)