On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data. - Michael A. Newton; C. M. Kendziorski; C. S. Richmond; Frederick R. Blattner; Kam-Wah Tsui (J. Comput. Biol., 2001)

Statistical Use of Argonaute Expression and RISC Assembly in microRNA Target Identification. - Stephen A. Stanhope; Srikumar Sengupta; Johan den Boon; Paul Ahlquist; Michael A. Newton (PLoS Comput. Biol., 2009)

Statistical Significance of Optical Map Alignments. - Deepayan Sarkar; Steve Goldstein; David C. Schwartz; Michael A. Newton (J. Comput. Biol., 2012)

Limited Agreement of Independent RNAi Screens for Virus-Required Host Genes Owes More to False-Negative than False-Positive Factors. - Linhui Hao; Qiuling He; Zhishi Wang; Mark Craven; Michael A. Newton; Paul Ahlquist (PLoS Comput. Biol., 2013)

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. - Ligang Zheng; Hyunwoo J. Kim; Nagesh Adluru; Michael A. Newton; Vikas Singh (CVPR Workshops, 2017)

Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening. - Spencer S. Ericksen; Haozhen Wu; Huikun Zhang; Lauren A. Michael; Michael A. Newton; F. Michael Hoffmann; Scott A. Wildman (J. Chem. Inf. Model., 2017)

Predicting kinase inhibitors using bioactivity matrix derived informer sets. - Huikun Zhang; Spencer S. Ericksen; Ching-pei Lee; Gene E. Ananiev; Nathan Wlodarchak; Peng Yu; Julie C. Mitchell; Anthony Gitter; Stephen J. Wright 001; F. Michael Hoffmann; Scott A. Wildman; Michael A. Newton (PLoS Comput. Biol., 2019)

MixTwice: large-scale hypothesis testing for peptide arrays by variance mixing. - Zihao Zheng; Aisha M. Mergaert; Irene M. Ong; Miriam A. Shelef; Michael A. Newton (Bioinform., 2021)