Scott M. Williams

15 papers Misc 2Journal 13
YearRankTypeTitle / Venue / Authors
2024 J jnl
Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation.
BioData Min.
Emily R. Hannon, Carmen J. Marsit, Arlene E. Dent, Paula Embury, Sidney Ogolla, David Midem, Scott M. Williams, James W. Kazura
2023 J jnl
Genetics and precision health: the ecological fallacy and artificial intelligence solutions.
BioData Min.
Scott M. Williams, Jason H. Moore
2016 J jnl
Evolutionary triangulation: informing genetic association studies with evolutionary evidence.
BioData Min.
Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis J. Muglia, Scott M. Williams
2016 J jnl
GEneSTATION 1.0: a synthetic resource of diverse evolutionary and functional genomic data for studying the evolution of pregnancy-associated tissues and phenotypes.
Nucleic Acids Res.
Mara Kim, Brian A. Cooper, Rohit Venkat, Julie B. Phillips, Haley R. Eidem, Jibril Hirbo, Sashank Nutakki, Scott M. Williams, Louis J. Muglia, J. Anthony Capra, Kenneth Petren, Patrick Abbot, Antonis Rokas, Kriston L. McGary
2015 J jnl
Lumping versus splitting: the need for biological data mining in precision medicine.
BioData Min.
Scott M. Williams, Jason H. Moore
2014 J jnl
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors.
BioData Min.
Timothy H. Ciesielski, Sarah A. Pendergrass, Marquitta J. White, Nuri Kodaman, Rafal S. Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B. Selleck, Christopher I. Amos, Marylyn D. Ritchie, Jason H. Moore, Scott M. Williams
2014 J jnl
The multiscale backbone of the human phenotype network based on biological pathways.
BioData Min.
Christian Darabos, Marquitta J. White, Britney E. Graham, Derek N. Leung, Scott M. Williams, Jason H. Moore
2013 J jnl
Big Data analysis on autopilot?
BioData Min.
Scott M. Williams, Jason H. Moore
2013 J jnl
Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis.
BioData Min.
Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2013 J jnl
Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies.
J. Am. Medical Informatics Assoc.
Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
2012 J jnl
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS.
BioData Min.
Nora Kim, Peter C. Andrews, Folkert W. Asselbergs, H. Robert Frost, Scott M. Williams, Brent T. Harris, Cynthia Read, Kathleen D. Askland, Jason H. Moore
2010 J jnl
Bioinformatics challenges for genome-wide association studies.
Bioinform.
Jason H. Moore, Folkert W. Asselbergs, Scott M. Williams
2010 Misc conf
Enabling Personal Genomics with an Explicit Test of Epistasis.
Pacific Symposium on Biocomputing
Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2008 J jnl
Evaluation of pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease.
BMC Bioinform.
Siddharth Pratap, Scott M. Williams, Shawn E. Levy
2006 Misc conf
Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics.
Pacific Symposium on Biocomputing
Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie