Algorithms for choosing differential gene expression experiments. - Richard M. Karp; Roland Stoughton; Ka Yee Yeung (RECOMB, 1999)

Model-based clustering and data transformations for gene expression data. - Ka Yee Yeung; Chris Fraley; Alejandro Murua; Adrian E. Raftery; Walter L. Ruzzo (Bioinform., 2001)

Validating clustering for gene expression data. - Ka Yee Yeung; David R. Haynor; Walter L. Ruzzo (Bioinform., 2001)

Principal component analysis for clustering gene expression data. - Ka Yee Yeung; Walter L. Ruzzo (Bioinform., 2001)

Cluster analysis of gene expression data. - Ka Yee Yeung (2001)

Bayesian mixture model based clustering of replicated microarray data. - Mario Medvedovic; Ka Yee Yeung; Roger Eugene Bumgarner (Bioinform., 2004)

Donuts, scratches and blanks: robust model-based segmentation of microarray images. - Qunhua Li; Chris Fraley; Roger Eugene Bumgarner; Ka Yee Yeung; Adrian E. Raftery (Bioinform., 2005)

Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. - Ka Yee Yeung; Roger Eugene Bumgarner; Adrian E. Raftery (Bioinform., 2005)

Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset. - Xiangdong Liu; Siva Sivaganesan; Ka Yee Yeung; Junhai Guo; Roger Eugene Bumgarner; Mario Medvedovic (Bioinform., 2006)

Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data. - Amalia Annest; Roger Eugene Bumgarner; Adrian E. Raftery; Ka Yee Yeung (BMC Bioinform., 2009)

Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data. - Ka Yee Yeung; T. A. Gooley; A. Zhang; Adrian E. Raftery; J. P. Radich; V. G. Oehler (Bioinform., 2012)

Integrating external biological knowledge in the construction of regulatory networks from time-series expression data. - Kenneth Lo; Adrian E. Raftery; Kenneth M. Dombek; Jun Zhu; Eric E. Schadt; Roger Eugene Bumgarner; Ka Yee Yeung (BMC Syst. Biol., 2012)

Signature discovery for personalized medicine. - Ka Yee Yeung (ISI, 2013)

Fast Bayesian inference for gene regulatory networks using ScanBMA. - William Chad Young; Adrian E. Raftery; Ka Yee Yeung (BMC Syst. Biol., 2014)

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. - Maciej Fronczuk; Adrian E. Raftery; Ka Yee Yeung (Source Code Biol. Medicine, 2015)

Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forest. - Daniel Kristiyanto; Kevin E. Anderson; Ling-Hong Hung; Ka Yee Yeung (F1000Research, 2016)

Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract. - Xiao Liang; William Chad Young; Ling-Hong Hung; Adrian E. Raftery; Ka Yee Yeung (BCB, 2018)

Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows. - Ka Yee Yeung; Ling-Hong Hung; Wes Lloyd (BCB, 2018)

Reproducible Bioconductor workflows using browser-based interactive notebooks and containers. - Reem Almugbel; Ling-Hong Hung; Jiaming Hu; Abeer Almutairy; Nicole Ortogero; Yashaswi Tamta; Ka Yee Yeung (J. Am. Medical Informatics Assoc., 2018)

Leveraging Serverless Computing to Improve Performance for Sequence Comparison. - Xingzhi Niu; Dimitar Kumanov; Ling-Hong Hung; Wes Lloyd; Ka Yee Yeung (BCB, 2019)

Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment. - Christin Scott; Ling-Hong Hung; Wes Lloyd; Ka Yee Yeung (BIBM, 2019)

Holistic optimization of an RNA-seq workflow for multi-threaded environments. - Ling-Hong Hung; Wes Lloyd; Radhika Agumbe Sridhar; Saranya Devi Athmalingam Ravishankar; Yuguang Xiong; Eric Sobie; Ka Yee Yeung (Bioinform., 2019)

Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. - Xiao Liang; William Chad Young; Ling-Hong Hung; Adrian E. Raftery; Ka Yee Yeung (J. Comput. Biol., 2019)

Characterizing Performance Variation of Genomic Data Analysis Workflows on the Public Cloud. - David Perez; Ling-Hong Hung; Sonia Xu; Ka Yee Yeung; Wes Lloyd (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Profiling Resource Utilization of Bioinformatics Workflows. - Huazeng Deng; Ling-Hong Hung; Raymond Schooley; David Perez; Niharika Arumilli; Ka Yee Yeung; Wes Lloyd (CoRR, 2020)

Application of natural language processing and machine learning to radiology reports. - Seoungdeok Jeon; Zachary Colburn; Joshua Sakai; Ling-Hong Hung; Ka Yee Yeung (BCB, 2021)

Mobility Analysis Workflow (MAW): An accessible, interoperable, and reproducible container system for processing raw mobile data. - Xiangyang Guan; Cynthia Chen; Ian Ren; Ka Yee Yeung; Ling-Hong Hung; Wes J. Lloyd (CoRR, 2022)