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Adrian Raftery: Gene Expression Research

Young, W.C., Raftery, A.E. and Yeung, K.Y. (in press). Model-based clustering with data correction for removing artifacts in gene expression data. Annals of Applied Statistics, to appear.

Young, W.C., Raftery, A.E. and Yeung, K.Y. (2016). A posterior probability approach for gene regulatory network inference in genetic perturbation data. Mathematical Biosciences and Engineering, 13:1241-1251.

Fronczuk, M., Raftery, A.E. and Yeung, K.Y. (2015). CyNetworkBMA: a Cytoscape app for inferring gene regulatory networks. Source Code for Biology and Medicine 10:article 11.

Young, W.C., Raftery, A.E. and Yeung, K.Y. (2014). Fast Bayesian Inference for Gene Regulatory Networks Using ScanBMA. BMC Systems Biology, 8:article 47.

Raftery, A.E., Niu, X., Hoff, P.D. and Yeung, K.Y. (2012). Fast Inference for the Latent Space Network Model Using a Case-Control Approximate Likelihood. Journal of Computational and Graphical Statistics, 21:909-919.

Lo, K., Raftery, A.E., Dombek, K., Zhu, J., Schadt, E.E., Bumgarner, R.E. and Yeung, K.Y. (2012). Integrating External Biological Knowledge in the Construction of Regulatory Networks from Time-series Expression Data. BMC Systems Biology 6: article 101.

Yeung, K.Y., Gooley, T.A., Zhang, A., Raftery, A.E., Radich, J.P. and Oehler, V.G. (2012). Predicting relapse prior to transplantation in chronic myeloid leukemia by integrating expert knowledge and expression data. Bioinformatics 28:823-830.

Yeung, K.Y., Dombek, K.M., Lo, K., Mittler, J.E., Zhu, J., Schadt, E.E., Bumgarner, R.E. and Raftery, A.E. (2011). Construction of regulatory networks using expression time-series data of a genotyped population. Proceedings of the National Academy of Sciences 108:19436-19441.

Oehler, V.G., Yeung, K.Y., Choi, Y.E., Bumgarner, R.E., Raftery, A.E. and Radich, J.P. (2009). The derivation of diagnostic markers of chronic myeloid leukemia progression from microarray data. Blood 114:3292-3298.

Annest, A., Bumgarner, R.E., Raftery, A.E. and Yeung, K.Y. (2009). Iterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data. BMC Bioinformatics 10, article 72.

Chu, V.T., Gottardo, R., Raftery, A.E., Bumgarner, R.E. and Yeung, K.Y. (2008). MeV+R: using MeV as a graphical user interface for Bioconductor applications in microarray analysis. Genome Biology 7: article R118.

Gottardo, R., Raftery, A.E., Yeung, K.Y. and Bumgarner, R.E. (2006). Robust Estimation of cDNA Microarray Intensities with Replicates. Journal of the American Statistical Association, 101, 30-40.

Gottardo, R., Raftery, A.E., Yeung, K.Y. and Bumgarner, R.E. (2006). Bayesian Robust Inference for Differential Gene Expression in cDNA Microarrays with Multiple Samples. Biometrics, 62, 10-18.

Dean, N. and Raftery, A.E. (2005). ``Normal uniform mixture differential gene expression detection for cDNA microarrays.'' BMC Bioinformatics, 6, 173. (doi:10.1186/1471-2105-6-173).

Fraley, C. and Raftery, A.E. (2006). Model-based microarray image analysis. R News, 6, no. 5, 60-63.

Li, Q., Fraley, C., Bumgarner, R.E., Yeung, K.Y. and Raftery, A.E. (2005). ``Donuts, Scratches and Blanks: Robust Model-Based Segmentation of Microarray Images.'' Bioinformatics, 21(12), 2875-2882 (doi:10.1093/bioinformatics/bti447).

Yeung, K.Y., Bumgarner, R.E. and Raftery, A.E. (2005). `` Bayesian Model Averaging: Development of an improved multi-class, gene selection and classification tool for microarray data.'' Bioinformatics, 21(10), 2394-2402 (doi:10.1093/bioinformatics/bti319).

Yeung K.Y., Fraley C., Murua A., Raftery, A.E. and Ruzzo, W.L. (2001). Model-based clustering and data transformations for gene expression data. Bioinformatics, 17, 977-987.
This paper was identified by ISI Science Citation Index/Web of Science as one of the most highly-cited papers in Gene Expression Data. Here is a commentary on the paper by lead author Ka Yee Yeung, published by ISI in its publication Fast Moving Fronts.

These papers are being made available here to facilitate the timely dissemination of scholarly work; copyright and all related rights are retained by the copyright holders.

Updated May 31, 2017

Copyright 2005-2017 by Adrian E. Raftery; all rights reserved.