Ka Yee Yeung - researchr alias

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Viewing Publication 1 - 24 from 24

2021

Application of natural language processing and machine learning to radiology reportsSeoungdeok Jeon, Zachary Colburn, Joshua Sakai, Ling-Hong Hung, Ka Yee Yeung. bcb 2021: [doi]

2020

Characterizing Performance Variation of Genomic Data Analysis Workflows on the Public CloudDavid Perez, Ling-Hong Hung, Sonia Xu, Ka Yee Yeung, Wes Lloyd. dasc 2020: 680-683 [doi]

2019

2018

2016

Predicting discontinuation of docetaxel treatment for metastatic castration-resistant prostate cancer (mCRPC) with random forestDaniel Kristiyanto, Kevin E. Anderson, Ling-Hong Hung, Ka Yee Yeung. f1000research, 5:2673, 2016. [doi]

2015

CyNetworkBMA: a Cytoscape app for inferring gene regulatory networksMaciej Fronczuk, Adrian E. Raftery, Ka Yee Yeung. scfbm, 10:11, 2015. [doi]

2013

Signature discovery for personalized medicineKa Yee Yeung. isi 2013: 333-338 [doi]

2012

Integrating external biological knowledge in the construction of regulatory networks from time-series expression dataKenneth Lo, Adrian E. Raftery, Kenneth M. Dombek, Jun Zhu, Eric E. Schadt, Roger Eugene Bumgarner, Ka Yee Yeung. bmcsb, 6:101, 2012. [doi]

Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression dataKa Yee Yeung, T. A. Gooley, A. Zhang, Adrian E. Raftery, J. P. Radich, V. G. Oehler. bioinformatics, 28(6):823-830, 2012. [doi]

2009

Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray dataAmalia Annest, Roger Eugene Bumgarner, Adrian E. Raftery, Ka Yee Yeung. bmcbi, 10, 2009. [doi]

2006

Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray datasetXiangdong Liu, Siva Sivaganesan, Ka Yee Yeung, Junhai Guo, Roger Eugene Bumgarner, Mario Medvedovic. bioinformatics, 22(14):1737-1744, 2006. [doi]

2005

Donuts, scratches and blanks: robust model-based segmentation of microarray imagesQunhua Li, Chris Fraley, Roger Eugene Bumgarner, Ka Yee Yeung, Adrian E. Raftery. bioinformatics, 21(12):2875-2882, 2005. [doi]

Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray dataKa Yee Yeung, Roger Eugene Bumgarner, Adrian E. Raftery. bioinformatics, 21(10):2394-2402, 2005. [doi]

2004

Bayesian mixture model based clustering of replicated microarray dataMario Medvedovic, Ka Yee Yeung, Roger Eugene Bumgarner. bioinformatics, 20(8):1222-1232, 2004. [doi]

2001

Principal component analysis for clustering gene expression dataKa Yee Yeung, Walter L. Ruzzo. bioinformatics, 17(9):763-774, 2001.

Model-based clustering and data transformations for gene expression dataKa Yee Yeung, Chris Fraley, A. Murua, Adrian E. Raftery, Walter L. Ruzzo. bioinformatics, 17(10):977-987, 2001.

Cluster analysis of gene expression dataKa Yee Yeung. PhD thesis, University of Washington, USA, 2001. [doi]

Validating clustering for gene expression dataKa Yee Yeung, David R. Haynor, Walter L. Ruzzo. bioinformatics, 17(4):309-318, 2001.

1999

Algorithms for choosing differential gene expression experimentsRichard M. Karp, Roland Stoughton, Ka Yee Yeung. recomb 1999: 208-217 [doi]

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