Michael A. Newton - researchr alias

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Viewing Publication 1 - 7 from 7

2021

MixTwice: large-scale hypothesis testing for peptide arrays by variance mixingZihao Zheng, Aisha M. Mergaert, Irene M. Ong, Miriam A. Shelef, Michael A. Newton. bioinformatics, 37(17):2637-2643, 2021. [doi]

2019

Predicting kinase inhibitors using bioactivity matrix derived informer setsHuikun Zhang, Spencer S. Ericksen, Ching-Pei Lee, Gene E. Ananiev, Nathan Wlodarchak, Peng Yu, Julie C. Mitchell, Anthony Gitter, Stephen J. Wright, F. Michael Hoffmann, Scott A. Wildman, Michael A. Newton. ploscb, 15(8), 2019. [doi]

2017

Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual ScreeningSpencer S. Ericksen, Haozhen Wu, Huikun Zhang, Lauren A. Michael, Michael A. Newton, F. Michael Hoffmann, Scott A. Wildman. jcisd, 57(7):1579-1590, July 2017. [doi]

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued DataLigang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh. cvpr 2017: 699-708 [doi]

2013

Limited Agreement of Independent RNAi Screens for Virus-Required Host Genes Owes More to False-Negative than False-Positive FactorsLinhui Hao, Qiuling He, Zhishi Wang, Mark Craven, Michael A. Newton, Paul Ahlquist. ploscb, 9(9), 2013. [doi]

2012

Statistical Significance of Optical Map AlignmentsDeepayan Sarkar, Steve Goldstein, David C. Schwartz, Michael A. Newton. jcb, 19(5):478-492, 2012. [doi]

2009

Statistical Use of Argonaute Expression and RISC Assembly in microRNA Target IdentificationStephen A. Stanhope, Srikumar Sengupta, Johan den Boon, Paul Ahlquist, Michael A. Newton. ploscb, 5(9), 2009. [doi]

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