Scott M. Williams

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 3

Top Topics

Haplotype Inference

Biological Data Mining

Top Venues

J. Am. Medical Informatics Assoc.

Nucleic Acids Res.

Publications

Scott M. Williams, Jason H. Moore
Genetics and precision health: the ecological fallacy and artificial intelligence solutions. BioData Min. 16 (1) (2023)
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
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. 44 (Database-Issue) (2016)
Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis J. Muglia, Scott M. Williams
Evolutionary triangulation: informing genetic association studies with evolutionary evidence. BioData Min. 9 (2016)
Scott M. Williams, Jason H. Moore
Lumping versus splitting: the need for biological data mining in precision medicine. BioData Min. 8 (2015)
Christian Darabos, Marquitta J. White, Britney E. Graham, Derek N. Leung, Scott M. Williams, Jason H. Moore
The multiscale backbone of the human phenotype network based on biological pathways. BioData Min. 7 (2014)
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
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. 7 (2014)
Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Scott M. Williams, Jason H. Moore
Big Data analysis on autopilot? BioData Min. 6 (2013)
Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore
Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis. BioData Min. 6 (2013)
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
Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS. BioData Min. 5 (2012)
Jason H. Moore, Folkert W. Asselbergs, Scott M. Williams
Bioinformatics challenges for genome-wide association studies. Bioinform. 26 (4) (2010)
Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Enabling Personal Genomics with an Explicit Test of Epistasis. Pacific Symposium on Biocomputing (2010)
Siddharth Pratap, Scott M. Williams, Shawn E. Levy
Evaluation of pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease. BMC Bioinform. 9 (S-7) (2008)
Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie
Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics. Pacific Symposium on Biocomputing (2006)