Ka Yee Yeung

According to our database, Ka Yee Yeung authored at least 27 papers between 1999 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

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

2021

Application of natural language processing and machine learning to radiology reports.

Seoungdeok Jeon, Zachary Colburn, Joshua Sakai, Ling-Hong Hung, Ka Yee Yeung

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

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

Characterizing Performance Variation of Genomic Data Analysis Workflows on the Public Cloud.

David Perez, Ling-Hong Hung, Sonia Xu, Ka Yee Yeung, Wes Lloyd

Proceedings of the IEEE Intl Conf on Dependable, 2020

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

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

Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment.

Christin Scott, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Leveraging Serverless Computing to Improve Performance for Sequence Comparison.

Xingzhi Niu, Dimitar Kumanov, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

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

Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows.

Ka Yee Yeung, Ling-Hong Hung, Wes Lloyd

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

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

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2016

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

2015

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks.

Maciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung

Source Code Biol. Medicine, 2015

2014

Fast Bayesian inference for gene regulatory networks using ScanBMA.

William Chad Young, Adrian E. Raftery, Ka Yee Yeung

BMC Syst. Biol., 2014

2013

Signature discovery for personalized medicine.

Ka Yee Yeung

Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics, 2013

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

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

2009

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

2006

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

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

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

2004

Bayesian mixture model based clustering of replicated microarray data.

Mario Medvedovic, Ka Yee Yeung, Roger Eugene Bumgarner

Bioinform., 2004

2001

Cluster analysis of gene expression data.

Ka Yee Yeung

PhD thesis, 2001

Principal component analysis for clustering gene expression data.

Ka Yee Yeung, Walter L. Ruzzo

Bioinform., 2001

Validating clustering for gene expression data.

Ka Yee Yeung, David R. Haynor, Walter L. Ruzzo

Bioinform., 2001

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

1999

Algorithms for choosing differential gene expression experiments.

Richard M. Karp, Roland Stoughton, Ka Yee Yeung

Proceedings of the Third Annual International Conference on Research in Computational Molecular Biology, 1999