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Ka Yee Yeung
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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
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
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
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
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
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
Validating clustering for gene expression data. Bioinform. 17(4): 309-318 (2001) - [j2]Ka Yee Yeung
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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