Scott M. Williams

According to our database, Scott M. Williams authored at least 15 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Genetics and precision health: the ecological fallacy and artificial intelligence solutions.

Scott M. Williams, Jason H. Moore

BioData Min., January, 2023

2016

GEneSTATION 1.0: a synthetic resource of diverse evolutionary and functional genomic data for studying the evolution of pregnancy-associated tissues and phenotypes.

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

Nucleic Acids Res., 2016

Evolutionary triangulation: informing genetic association studies with evolutionary evidence.

Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis J. Muglia, Scott M. Williams

BioData Min., 2016

2015

Lumping versus splitting: the need for biological data mining in precision medicine.

Scott M. Williams, Jason H. Moore

BioData Min., 2015

Using agent-based simulation to understand populatation dynamics and coevolution in host-pathogen relationships.

Roy Williams, Scott Williams, Amar Das

Proceedings of the 2015 Winter Simulation Conference, 2015

2014

The multiscale backbone of the human phenotype network based on biological pathways.

Christian Darabos, Marquitta J. White, Britney E. Graham, Derek N. Leung, Scott M. Williams, Jason H. Moore

BioData Min., 2014

Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors.

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

BioData Min., 2014

2013

Research and applications: An information-gain approach to detecting three-way epistatic interactions in genetic association studies.

Ting Hu, Yuanzhu Peter Chen, Jeff Kiralis, Ryan L. Collins, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore

J. Am. Medical Informatics Assoc., 2013

Big Data analysis on autopilot?

Scott M. Williams, Jason H. Moore

BioData Min., 2013

Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis.

Ryan L. Collins, Ting Hu, Christian Wejse, Giorgio Sirugo, Scott M. Williams, Jason H. Moore

BioData Min., 2013

2012

Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS.

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

BioData Min., 2012

2010

Bioinformatics challenges for genome-wide association studies.

Jason H. Moore, Folkert W. Asselbergs, Scott M. Williams

Bioinform., 2010

Enabling Personal Genomics with an Explicit Test of Epistasis.

Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

2008

Evaluation of pooled allelotyping versus individual genotyping for genome-wide association analysis of complex disease.

Siddharth Pratap, Scott M. Williams, Shawn E. Levy

BMC Bioinform., 2008

2006

Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics.

Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie

Proceedings of the Biocomputing 2006, 2006