Ka Yee Yeung

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 12

Top Topics

Gene Regulatory

Bayesian Inference

Top Venues

J. Comput. Biol.

Publications

Xiangyang Guan, Cynthia Chen, Ian Ren, Ka Yee Yeung, Ling-Hong Hung, Wes J. Lloyd
Mobility Analysis Workflow (MAW): An accessible, interoperable, and reproducible container system for processing raw mobile data. CoRR (2022)
Seoungdeok Jeon, Zachary Colburn, Joshua Sakai, Ling-Hong Hung, Ka Yee Yeung
Application of natural language processing and machine learning to radiology reports. BCB (2021)
David Perez, Ling-Hong Hung, Sonia Xu, Ka Yee Yeung, Wes Lloyd
Characterizing Performance Variation of Genomic Data Analysis Workflows on the Public Cloud. DASC/PiCom/CBDCom/CyberSciTech (2020)
Huazeng Deng, Ling-Hong Hung, Raymond Schooley, David Perez, Niharika Arumilli, Ka Yee Yeung, Wes Lloyd
Profiling Resource Utilization of Bioinformatics Workflows. CoRR (2020)
Xingzhi Niu, Dimitar Kumanov, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung
Leveraging Serverless Computing to Improve Performance for Sequence Comparison. BCB (2019)
Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung
Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. J. Comput. Biol. 26 (10) (2019)
Christin Scott, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung
Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment. BIBM (2019)
Ling-Hong Hung, Wes Lloyd, Radhika Agumbe Sridhar, Saranya Devi Athmalingam Ravishankar, Yuguang Xiong, Eric Sobie, Ka Yee Yeung
Holistic optimization of an RNA-seq workflow for multi-threaded environments. Bioinform. 35 (20) (2019)
Ka Yee Yeung, Ling-Hong Hung, Wes Lloyd
Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows. BCB (2018)
Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung
Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract. BCB (2018)
Reem Almugbel, Ling-Hong Hung, Jiaming Hu, Abeer Almutairy, Nicole Ortogero, Yashaswi Tamta, Ka Yee Yeung
Reproducible Bioconductor workflows using browser-based interactive notebooks and containers. J. Am. Medical Informatics Assoc. 25 (1) (2018)
Daniel Kristiyanto, Kevin E. Anderson, Ling-Hong Hung, Ka Yee Yeung
Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forest. F1000Research 5 (2016)
Maciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung
CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. Source Code Biol. Medicine 10 (2015)
William Chad Young, Adrian E. Raftery, Ka Yee Yeung
Fast Bayesian inference for gene regulatory networks using ScanBMA. BMC Syst. Biol. 8 (2014)
Ka Yee Yeung
Signature discovery for personalized medicine. ISI (2013)
Kenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung
Integrating external biological knowledge in the construction of regulatory networks from time-series expression data. BMC Syst. Biol. 6 (2012)
Ka Yee Yeung, T. A. Gooley, A. Zhang, Adrian E. Raftery, J. P. Radich, V. G. Oehler
Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data. Bioinform. 28 (6) (2012)
Amalia Annest, Roger Eugene Bumgarner, Adrian E. Raftery, Ka Yee Yeung
Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data. BMC Bioinform. 10 (2009)
Xiangdong Liu, Siva Sivaganesan, Ka Yee Yeung, Junhai Guo, Roger Eugene Bumgarner, Mario Medvedovic
Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset. Bioinform. 22 (14) (2006)
Ka Yee Yeung, Roger Eugene Bumgarner, Adrian E. Raftery
Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data. Bioinform. 21 (10) (2005)
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, Ka Yee Yeung, Adrian E. Raftery
Donuts, scratches and blanks: robust model-based segmentation of microarray images. Bioinform. 21 (12) (2005)
Mario Medvedovic, Ka Yee Yeung, Roger Eugene Bumgarner
Bayesian mixture model based clustering of replicated microarray data. Bioinform. 20 (8) (2004)
Ka Yee Yeung, David R. Haynor, Walter L. Ruzzo
Validating clustering for gene expression data. Bioinform. 17 (4) (2001)
Ka Yee Yeung, Walter L. Ruzzo
Principal component analysis for clustering gene expression data. Bioinform. 17 (9) (2001)
Ka Yee Yeung, Chris Fraley, Alejandro Murua, Adrian E. Raftery, Walter L. Ruzzo
Model-based clustering and data transformations for gene expression data. Bioinform. 17 (10) (2001)
Richard M. Karp, Roland Stoughton, Ka Yee Yeung
Algorithms for choosing differential gene expression experiments. RECOMB (1999)