Ka Yee Yeung

28 papers B 1C 1Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Re-opening open-source science through AI assisted development.
CoRR
Ling-Hong Hung, Ka Yee Yeung
2022 J jnl
Mobility Analysis Workflow (MAW): An accessible, interoperable, and reproducible container system for processing raw mobile data.
CoRR
Xiangyang Guan, Cynthia Chen, Ian Ren, Ka Yee Yeung, Ling-Hong Hung, Wes J. Lloyd
2021 — conf
Application of natural language processing and machine learning to radiology reports.
BCB
Seoungdeok Jeon, Zachary Colburn, Joshua Sakai, Ling-Hong Hung, Ka Yee Yeung
2020 — conf
Characterizing Performance Variation of Genomic Data Analysis Workflows on the Public Cloud.
DASC/PiCom/CBDCom/CyberSciTech
David Perez, Ling-Hong Hung, Sonia Xu, Ka Yee Yeung, Wes Lloyd
2020 J jnl
Profiling Resource Utilization of Bioinformatics Workflows.
CoRR
Huazeng Deng, Ling-Hong Hung, Raymond Schooley, David Perez, Niharika Arumilli, Ka Yee Yeung, Wes Lloyd
2019 J jnl
Holistic optimization of an RNA-seq workflow for multi-threaded environments.
Bioinform.
Ling-Hong Hung, Wes Lloyd, Radhika Agumbe Sridhar, Saranya Devi Athmalingam Ravishankar, Yuguang Xiong, Eric Sobie, Ka Yee Yeung
2019 J jnl
Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data.
J. Comput. Biol.
Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung
2019 — conf
Leveraging Serverless Computing to Improve Performance for Sequence Comparison.
BCB
Xingzhi Niu, Dimitar Kumanov, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung
2019 — conf
Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment.
BIBM
Christin Scott, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung
2018 — conf
Integration of Multiple Data Sources for Gene Network Inference using Genetic Perturbation Data: Extended Abstract.
BCB
Xiao Liang, William Chad Young, Ling-Hong Hung, Adrian E. Raftery, Ka Yee Yeung
2018 J jnl
Reproducible Bioconductor workflows using browser-based interactive notebooks and containers.
J. Am. Medical Informatics Assoc.
Reem Almugbel, Ling-Hong Hung, Jiaming Hu, Abeer Almutairy, Nicole Ortogero, Yashaswi Tamta, Ka Yee Yeung
2018 — conf
Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows.
BCB
Ka Yee Yeung, Ling-Hong Hung, Wes Lloyd
2016 J jnl
Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forest.
F1000Research
Daniel Kristiyanto, Kevin E. Anderson, Ling-Hong Hung, Ka Yee Yeung
2015 J jnl
CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks.
Source Code Biol. Medicine
Maciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung
2014 J jnl
Fast Bayesian inference for gene regulatory networks using ScanBMA.
BMC Syst. Biol.
William Chad Young, Adrian E. Raftery, Ka Yee Yeung
2013 C conf
Signature discovery for personalized medicine.
ISI
Ka Yee Yeung
2012 J jnl
Integrating external biological knowledge in the construction of regulatory networks from time-series expression data.
BMC Syst. Biol.
Kenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung
2012 J jnl
Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data.
Bioinform.
Ka Yee Yeung, T. A. Gooley, A. Zhang, Adrian E. Raftery, J. P. Radich, V. G. Oehler
2009 J jnl
Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data.
BMC Bioinform.
Amalia Annest, Roger Eugene Bumgarner, Adrian E. Raftery, Ka Yee Yeung
2006 J jnl
Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset.
Bioinform.
Xiangdong Liu, Siva Sivaganesan, Ka Yee Yeung, Junhai Guo, Roger Eugene Bumgarner, Mario Medvedovic
2005 J jnl
Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.
Bioinform.
Ka Yee Yeung, Roger Eugene Bumgarner, Adrian E. Raftery
2005 J jnl
Donuts, scratches and blanks: robust model-based segmentation of microarray images.
Bioinform.
Qunhua Li, Chris Fraley, Roger Eugene Bumgarner, Ka Yee Yeung, Adrian E. Raftery
2004 J jnl
Bayesian mixture model based clustering of replicated microarray data.
Bioinform.
Mario Medvedovic, Ka Yee Yeung, Roger Eugene Bumgarner
2001 — —
Cluster analysis of gene expression data.
Ka Yee Yeung
2001 J jnl
Model-based clustering and data transformations for gene expression data.
Bioinform.
Ka Yee Yeung, Chris Fraley, Alejandro Murua, Adrian E. Raftery, Walter L. Ruzzo
2001 J jnl
Principal component analysis for clustering gene expression data.
Bioinform.
Ka Yee Yeung, Walter L. Ruzzo
2001 J jnl
Validating clustering for gene expression data.
Bioinform.
Ka Yee Yeung, David R. Haynor, Walter L. Ruzzo
1999 B conf
Algorithms for choosing differential gene expression experiments.
RECOMB
Richard M. Karp, Roland Stoughton, Ka Yee Yeung