Ka Y. Yeung, Ph.D.

Affiliations: 
2001 University of Washington, Seattle, Seattle, WA 
Area:
Computer Science, Molecular Biology
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"Ka Yeung"

Parents

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Walter L. Ruzzo grad student 2001 University of Washington
 (Cluster analysis of gene expression data.)
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Publications

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Young WC, Yeung KY, Raftery AE. (2019) Identifying Dynamical Time Series Model Parameters from Equilibrium Samples, with Application to Gene Regulatory Networks. Statistical Modelling. 19: 444-465
Liang X, Young WC, Hung LH, et al. (2019) Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
Young WC, Yeung KY, Raftery AE. (2018) Identifying dynamical time series model parameters from equilibrium samples, with application to gene regulatory networks Statistical Modelling. 19: 444-465
Hung LH, Shi K, Wu M, et al. (2017) fastBMA: scalable network inference and transitive reduction. Gigascience. 6: 1-10
Young WC, Raftery AE, Yeung KY. (2016) Model-Based Clustering With Data Correction For Removing Artifacts In Gene Expression Data. The Annals of Applied Statistics. 11: 1998-2026
Young WC, Raftery AE, Yeung KY. (2016) A posterior probability approach for gene regulatory network inference in genetic perturbation data. Mathematical Biosciences and Engineering : Mbe. 13: 1241-1251
Young WC, Raftery AE, Yeung KY. (2016) A posterior probability approach for gene regulatory network inference in genetic perturbation data Mathematical Biosciences and Engineering. 13: 1241-1251
Fronczuk M, Raftery AE, Yeung KY. (2015) CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. Source Code For Biology and Medicine. 10: 11
Becker PS, Schmitt MW, Xie Z, et al. (2015) Toward Individualized Therapy: Correlation of Mutation Analysis with in Vitro high Throughput Drug Sensitivity Testing in New Diagnosis and Relapsed Acute Myeloid Leukemia Blood. 126: 3851-3851
Young WC, Raftery AE, Yeung KY. (2014) Fast Bayesian inference for gene regulatory networks using ScanBMA. Bmc Systems Biology. 8: 47
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