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2020 – today
- 2022
[i3]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 abs/2204.09125 (2022)- 2021
- [c8]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: 67:1 - 2020
- [c7]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: 680-683 - [i2]Huazeng Deng, Ling-Hong Hung, Raymond Schooley, David Perez, Niharika Arumilli, Ka Yee Yeung, Wes Lloyd:
Profiling Resource Utilization of Bioinformatics Workflows. CoRR abs/2005.11491 (2020)
2010 – 2019
- 2019
- [j15]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): 4173-4175 (2019) - [j14]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): 1113-1129 (2019) - [c6]Xingzhi Niu, Dimitar Kumanov, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung:
Leveraging Serverless Computing to Improve Performance for Sequence Comparison. BCB 2019: 683-687 - [c5]Christin Scott, Ling-Hong Hung, Wes Lloyd, Ka Yee Yeung:
Using BioDepot-workflow-builder to Access Public Databases in a Containerized Environment. BIBM 2019: 1243 - 2018
- [j13]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): 4-12 (2018) - [c4]Ka Yee Yeung, Ling-Hong Hung, Wes Lloyd:
Using BioDepot-workflow-Builder to Create and Execute Reproducible Bioinformatics Workflows. BCB 2018: 557 - [c3]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: 601-602 - 2016
- [i1]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: 2673 (2016) - 2015
- [j12]Maciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung:
CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. Source Code Biol. Medicine 10: 11 (2015) - 2014
- [j11]William Chad Young, Adrian E. Raftery, Ka Yee Yeung:
Fast Bayesian inference for gene regulatory networks using ScanBMA. BMC Syst. Biol. 8: 47 (2014) - 2013
- [c2]Ka Yee Yeung:
Signature discovery for personalized medicine. ISI 2013: 333-338 - 2012
- [j10]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): 823-830 (2012) - [j9]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: 101 (2012)
2000 – 2009
- 2009
- [j8]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) - 2006
- [j7]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): 1737-1744 (2006) - 2005
- [j6]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): 2394-2402 (2005) - [j5]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): 2875-2882 (2005) - 2004
- [j4]Mario Medvedovic, Ka Yee Yeung, Roger Eugene Bumgarner:
Bayesian mixture model based clustering of replicated microarray data. Bioinform. 20(8): 1222-1232 (2004) - 2001
- [b1]Ka Yee Yeung:
Cluster analysis of gene expression data. University of Washington, USA, 2001 - [j3]Ka Yee Yeung, David R. Haynor, Walter L. Ruzzo:
Validating clustering for gene expression data. Bioinform. 17(4): 309-318 (2001) - [j2]Ka Yee Yeung, Walter L. Ruzzo:
Principal component analysis for clustering gene expression data. Bioinform. 17(9): 763-774 (2001) - [j1]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): 977-987 (2001)
1990 – 1999
- 1999
- [c1]Richard M. Karp, Roland Stoughton, Ka Yee Yeung:
Algorithms for choosing differential gene expression experiments. RECOMB 1999: 208-217
Coauthor Index
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