Spectrum analysis of microwave breast examination data and reconstructed images. - Dun Li; Paul M. Meaney; Margaret Fanning; Qianqian Fang; Sarah A. Pendergrass; Timothy Raynolds (ISBI, 2002)

Microwave Breast Imaging with an Under-Determined Reconstruction Parameter Mesh. - Paul M. Meaney; Qianqian Fang; Margaret Fanning; Sarah A. Pendergrass; Timothy Raynolds; Colleen Fox; Keith D. Paulsen (ISBI, 2004)

Synthesis-View: visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis. - Sarah A. Pendergrass; Scott M. Dudek; Dana C. Crawford; Marylyn D. Ritchie (BioData Min., 2010)

Learning Phenotype Mapping for Integrating Large Genetic Data. - Chun-Nan Hsu; Cheng-Ju Kuo; Congxing Cai; Sarah A. Pendergrass; Marylyn D. Ritchie; José Luis Ambite (BioNLP@ACL, 2011)

Visual Integration of Results from a Large Dna Biobank (Biovu) Using Synthesis-View. - Sarah A. Pendergrass; Scott M. Dudek; Dan M. Roden; Dana C. Crawford; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2011)

A Biologically Informed Method for Detecting Associations with Rare Variants. - Carrie C. Buchanan; John R. Wallace; Alex T. Frase; Eric Torstenson; Sarah A. Pendergrass; Marylyn D. Ritchie (EvoBIO, 2012)

Visually integrating and exploring high throughput Phenome-Wide Association Study (PheWAS) results using PheWAS-View. - Sarah A. Pendergrass; Scott M. Dudek; Dana C. Crawford; Marylyn D. Ritchie (BioData Min., 2012)

Using BioBin to Explore Rare Variant Population Stratification. - Carrie Moore; John R. Wallace; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2013)

Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. - Sarah A. Pendergrass; Shefali S. Verma; Emily Rose Holzinger; Carrie Moore; John R. Wallace; Scott M. Dudek; Wayne Huggins; Terrie E. Kitchner; Carol Waudby; Richard L. Berg; Catherine A. McCarty; Marylyn D. Ritchie (Pacific Symposium on Biocomputing, 2013)

Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development. - Sarah A. Pendergrass; Alex T. Frase; John R. Wallace; Daniel Wolfe; Neerja Katiyar; Carrie Moore; Marylyn D. Ritchie (BioData Min., 2013)

Visualizing genomic information across chromosomes with PhenoGram. - Daniel Wolfe; Scott M. Dudek; Marylyn D. Ritchie; Sarah A. Pendergrass (BioData Min., 2013)

Uncovering the Etiology of Autism Spectrum Disorders: Genomics, Bioinformatics, Environment, Data Collection and Exploration, and Future Possibilities. - Sarah A. Pendergrass; Santhosh Girirajan; Scott B. Selleck (Pacific Symposium on Biocomputing, 2014)

Session introduction. - Anna L. Tyler; Dana C. Crawford; Sarah A. Pendergrass (Pacific Symposium on Biocomputing, 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; et al. (BioData Min., 2014)

Knowledge-driven genomic interactions: an application in ovarian cancer. - Do Kyoon Kim; Ruowang Li; Scott M. Dudek; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (BioData Min., 2014)

Investigating the relationship between mitochondrial genetic variation and cardiovascular-related traits to develop a framework for mitochondrial phenome-wide association studies. - Sabrina L. Mitchell; Jacob B. Hall; Robert J. Goodloe; Jonathan Boston; Eric Farber-Eger; Sarah A. Pendergrass; William S. Bush; Dana C. Crawford (BioData Min., 2014)

ATHENA: the analysis tool for heritable and environmental network associations. - Emily Rose Holzinger; Scott M. Dudek; Alex T. Frase; Sarah A. Pendergrass; Marylyn D. Ritchie (Bioinform., 2014)

Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. - Joseph B. Leader; Sarah A. Pendergrass; Anurag Verma; David J. Carey; Dustin N. Hartzel; Marylyn D. Ritchie; H. Lester Kirchner (AMIA, 2015)

Session Introduction. - Molly A. Hall; Shefali S. Verma; Dennis P. Wall; Jason H. Moore; Brendan Keating; Daniel B. Campbell; Gregory Gibson; Folkert W. Asselbergs; Sarah A. Pendergrass (Pacific Symposium on Biocomputing, 2015)

Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry. - Logan Dumitrescu; Nicole A. Restrepo; Robert J. Goodloe; Jonathan Boston; Eric Farber-Eger; Sarah A. Pendergrass; William S. Bush; Dana C. Crawford (BioData Min., 2015)

Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). - Shefali S. Verma; Alex T. Frase; Anurag Verma; Sarah A. Pendergrass; Shaun Mahony; David W. Haas; Marylyn D. Ritchie (PSB, 2016)

Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. - Anurag Verma; Joseph B. Leader; Shefali S. Verma; Alex T. Frase; John R. Wallace; Scott M. Dudek; Daniel R. Lavage; Cristopher V. Van Hout; Frederick E. Dewey; John Penn; Alexander E. Lopez; John D. Overton; et al. (PSB, 2016)

The detection and characterization of pleiotropy: discovery, progress, and promise. - Anna L. Tyler; Dana C. Crawford; Sarah A. Pendergrass (Briefings Bioinform., 2016)

Pathway analysis by randomization incorporating structure - PARIS: an update. - Mariusz Butkiewicz; Jessica Cooke Bailey; Alex T. Frase; Scott M. Dudek; Brian L. Yaspan; Marylyn D. Ritchie; Sarah A. Pendergrass; Jonathan L. Haines (Bioinform., 2016)

Session Introduction. - Anna Okula Basile; Anurag Verma; Marta Byrska-Bishop; Sarah A. Pendergrass; Christian Darabos; H. Lester Kirchner (PSB, 2017)

Opening the Door to the Large Scale Use of Clinical Lab Measures for Association Testing: Exploring Different Methods for Defining Phenotypes. - Christopher R. Bauer; Daniel R. Lavage; John Snyder; Joseph B. Leader; J. Matthew Mahoney; Sarah A. Pendergrass (PSB, 2017)

Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR. - Shefali S. Verma; Anastasia Lucas; Daniel R. Lavage; Joseph B. Leader; Raghu Metpally; Sarathbabu Krishnamurthy; Frederick E. Dewey; Ingrid B. Borecki; Alexander E. Lopez; John D. Overton; John Penn; Jeffrey G. Reid; et al. (PSB, 2017)

A simulation study investigating power estimates in phenome-wide association studies. - Anurag Verma; Yukiko Bradford; Scott M. Dudek; Anastasia Lucas; Shefali S. Verma; Sarah A. Pendergrass; Marylyn D. Ritchie (BMC Bioinform., 2018)

Interpretation of machine learning predictions for patient outcomes in electronic health records. - William G. La Cava; Christopher R. Bauer; Jason H. Moore; Sarah A. Pendergrass (AMIA, 2019)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. - Xinyuan Zhang 003; Yogasudha Veturi; Shefali Setia Verma; William Bone; Anurag Verma; Anastasia Lucas; Scott J. Hebbring; Joshua C. Denny; Ian B. Stanaway; Gail P. Jarvik; David R. Crosslin; Eric B. Larson; et al. (PSB, 2019)

Real world scenarios in rare variant association analysis: the impact of imbalance and sample size on the power in silico. - Xinyuan Zhang 003; Anna Okula Basile; Sarah A. Pendergrass; Marylyn D. Ritchie (BMC Bioinform., 2019)

Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. - Ning Shang; Atlas Khan; Fernanda Polubriaginof; Francesca Zanoni; Karla Mehl; David Fasel; Paul E. Drawz; Robert J. Carroll; Joshua C. Denny; Matthew A. Hathcock; Adelaide M. Arruda-Olson; Peggy L. Peissig; et al. (npj Digit. Medicine, 2021)