Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. - Qing T. Zeng; Sergey Goryachev; Scott T. Weiss; Margarita Sordo; Shawn N. Murphy; Ross Lazarus (BMC Medical Informatics Decis. Mak., 2006)

Characterization of Patients who Suffer Asthma Exacerbations using Data Extracted from Electronic Medical Records. - Blanca E. Himes; Isaac S. Kohane; Marco Ramoni; Scott T. Weiss (AMIA, 2008)

On the frequency of copy number variants. - Iuliana Ionita-Laza; Nan M. Laird; Benjamin A. Raby; Scott T. Weiss; Christoph Lange 003 (Bioinform., 2008)

Platform dependence of inference on gene-wise and gene-set involvement in human lung development. - Rose Du; Kelan Tantisira; Vincent J. Carey; Soumyaroop Bhattacharya; Stephanie Metje; Alvin T. Kho; Barbara J. Klanderman; Roger Gaedigk; Ross Lazarus; Thomas J. Mariani; J. Steven Leeder; Scott T. Weiss (BMC Bioinform., 2009)

A graphical model approach for inferring large-scale networks integrating gene expression and genetic polymorphism. - Jen-hwa Chu; Scott T. Weiss; Vincent J. Carey; Benjamin A. Raby (BMC Syst. Biol., 2009)

Research Paper: Prediction of Chronic Obstructive Pulmonary Disease (COPD) in Asthma Patients Using Electronic Medical Records. - Blanca E. Himes; Yi Dai; Isaac S. Kohane; Scott T. Weiss; Marco Ramoni (J. Am. Medical Informatics Assoc., 2009)

CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous Data. - Michael J. McGeachie; Hsun-Hsien Chang; Scott T. Weiss (PLoS Comput. Biol., 2014)

On the Origins and Control of Community Types in the Human Microbiome. - Travis E. Gibson; Amir Bashan; Hong-Tai Cao; Scott T. Weiss; Yang-Yu Liu (PLoS Comput. Biol., 2016)

deconvSeq: deconvolution of cell mixture distribution in sequencing data. - Rose Du; Vincent J. Carey; Scott T. Weiss (Bioinform., 2019)

A unifying framework for rare variant association testing in family-based designs, including higher criticism approaches, SKATs, and burden tests. - Julian Hecker; F. William Townes; Priyadarshini Kachroo; Cecelia A. Laurie; Jessica Lasky-Su; John Ziniti; Michael H. Cho; Scott T. Weiss; Nan M. Laird; Christoph Lange 003 (Bioinform., 2021)

powerEQTL: an R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis. - Xianjun Dong; Xiaoqi Li 018; Tzuu-Wang Chang; Clemens R. Scherzer; Scott T. Weiss; Weiliang Qiu (Bioinform., 2021)

Graph Convolutional Network-based Feature Selection for High-dimensional and Low-sample Size Data. - Can Chen; Scott T. Weiss; Yang-Yu Liu (CoRR, 2022)

A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. - Marc P. Maurits; Ilya Korsunsky; Soumya Raychaudhuri; Shawn N. Murphy; Jordan W. Smoller; Scott T. Weiss; Thomas W. J. Huizinga; Marcel J. T. Reinders; Elizabeth W. Karlson; Erik van den Akker 001; Rachel Knevel (J. Am. Medical Informatics Assoc., 2022)

Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. - Georg Hahn; Sanghun Lee; Dmitry Prokopenko; Jonathan Abraham; Tanya Novak; Julian Hecker; Michael H. Cho; Surender Khurana; Lindsey R. Baden; Adrienne G. Randolph; Scott T. Weiss; Christoph Lange 003 (BMC Bioinform., 2022)

Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. - Tong Wang 033; Xu-Wen Wang; Kathleen A. Lee-Sarwar; Augusto A. Litonjua; Scott T. Weiss; Yizhou Sun; Sergei Maslov; Yang-Yu Liu (Nat. Mac. Intell., 2023)

Graph convolutional network-based feature selection for high-dimensional and low-sample size data. - Can Chen 003; Scott T. Weiss; Yang-Yu Liu (Bioinform., 2023)

Fast computation of the eigensystem of genomic similarity matrices. - Georg Hahn; Sharon Marie Lutz; Julian Hecker; Dmitry Prokopenko; Michael H. Cho; Edwin K. Silverman; Scott T. Weiss; Christoph Lange 003 (BMC Bioinform., 2024)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)