Publications | BayesRx

(2019). BayesRx Group Current & Future Research Efforts. Overview.

Ha, M*, Banerjee S., Akbani R, Liang H, Mills G, Do K-A, Baladandayuthapani, V. (2018). Personalized Integrated Network Modeling of the Cancer Proteome Atlas. Scientific Reports.

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Ni, Y*, Stingo S., Baladandayuthapani, V. (2018). Bayesian Hierarchical Varying-Sparsity Regression Models with Application to Cancer Proteogenomics. Journal of the American Statistical Association.

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Bharath K, Kambadur, P., Dey D., Rao. A, Baladandayuthapani, V. (2018). Statistical Tests for Large Tree-Structured Data. Journal of the American Statistical Association.

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Ni, Y*, Stingo S., Baladandayuthapani, V. (2018). Bayesian Graphical Regression. Journal of the American Statistical Association.

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Kim, S, Baladandayuthapani, V., Lee, JJ (2018). Prediction-Oriented Marker Selection (PROMISE): With Application to High-Dimensional Regression. Biometrics.

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Bharath, K, Kurtek, S, Rao, A., Baladandayuthapani, V. (2018). Radiologic image‐based statistical shape analysis of brain tumours. Journal of Royal Statistical Society - Series C.

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Zhang X, Baladandayuthapani, V, Lin H, Mulligan G, .., Barlogie B.,.., Davis R. E., Ma W. C., Wang Z., Yang L., Orlowski R. Z. (2017). Tight Junction Protein 1 Modulates Proteasome Capacity and Proteasome Inhibitor Sensitivity in Multiple Myeloma via EGFR/JAK1/STAT3 Signaling. Cancer Cell.

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Ni, Y*, Stingo S., Baladandayuthapani, V. (2017). Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework. Journal of the American Statistical Association.

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Baljevic, M, Baladandayuthapani. V, Lin, H.Y, Partovi, C.M, Berkova, …, Zaman, S, Gandhi, V. V., Orlowski, R.Z (2017). Phase II study of the c-MET inhibitor tivantinib (ARQ 197) in patients with relapsed or relapsed/refractory multiple myeloma. Annals of Hematology.

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Zoh, RS, Mallick, B, Ivanov, I, Baladandayuthapani, V., Manyam, G, Chapkin, RS, Lampe, JW, Carroll, RJ (2016). PCAN: Probabilistic correlation analysis of two non-normal data sets. Biometrics.

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Nieto-Barajas, L, Ji, Y, Baladandayuthapani, V. (2016). A Semiparametric Bayesian Model for Comparing DNA Copy Numbers. Brazilian Journal of Probability and Statistics.

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Saha, A.*, Banerjee, S., Narang, S., Rao, G., Martinez, J., Rao, A.U.K, Baladandayuthapani, V. (2016). DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer. Neuroimage: Clinical.

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Guha, S, Baladandayuthapani, V. (2016). A Nonparametric Bayesian Technique for High-Dimensional Regression. Electronic Journal of Statistics.

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Azadeh, S, Hobbs, BP, Ma, L, Nielsen, DA, Gerard Moeller, F, Baladandayuthapani, V. (2016). Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence. Neuroimage.

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Gregory KB, Momin A, Coombes, KR, Baladandayuthapani, V. (2015). Latent feature decompositions for integrative analysis of multi-platform genomic data. IEEE/ACM Trans Comput Biol Bioinform.

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Gregory KB, Coombes KR, Momin A, Girard L, Byers LA, Lin S, Peyton M, Heymach JV, Minna JD, Baladandayuthapani, V. (2015). Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. IEEE/ACM Trans Comput Biol Bioinform.

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Ha, MJ, Baladandayuthapani, V., Do, KA (2015). DINGO: differential network analysis in genomics. Bioinformatics.

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Ni, Y, Stingo, FC, Baladandayuthapani, V. (2015). Bayesian Nonlinear Model Selection for Gene Regulatory Networks. Biometrics.

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Baladandayuthapani, V., Talluri, R, Ji Y., Coombes, K., Hennessy, B., Davies, M., Mallick B. K. (2015). Bayesian Sparse Graphical Models for Classification with Application to Protein Expression Data. Annals of Applied Statistics.

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Zhang, L, Baladandayuthapani, V., Mallick, BK, Manyam, GC, Thompson, PA, Bondy, ML, Do, KA (2015). Bayesian hierarchical structured variable selection methods with application to MIP studies in breast cancer.. J R Stat Soc Ser C Appl Stat.

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Ha, MJ, Baladandayuthapani, V., Do, KA (2015). Prognostic gene signature identification using causal structure learning: applications in kidney cancer. . Cancer Inform.

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Zhang, L, Morris, JS, Zhang, J, Orlowski, RZ, Baladandayuthapani, V. (2014). Bayesian Joint Selection of Genes and Pathways: Applications in Multiple Myeloma Genomics. Cancer. Cancer Inform.

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Guha, S, Ji, Y, Baladandayuthapani, V. (2014). Bayesian disease classification using copy number data. Cancer Inform.

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Ordonez, C, Garcia-Alvarado, C, Baladandayuthapani, V. (2014). Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets. ACM Trans. Knowl. Discov. Data.

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Ni, Y, Stingo, FC, Baladandayuthapani, V. (2014). Integrative Bayesian Network Analysis of Genomic Data. Cancer Inform.

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Talluri, R, Baladandayuthapani, V., Mallick, BK (2014). Bayesian sparse graphical models and their mixtures. Stat.

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Olivares, RJ, Rao, A, Rao, G, Morris, JS, Baladandayuthapani, V. (2013). Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma. 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

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Bhadra, A, Baladandayuthapani, V. (2013). Integrative Sparse Bayesian analysis of high- dimensional multi-platform Genomic data in Glioblastoma. 2013 IEEE International Workshop on Genomic Signal Processing and Statistics.

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Wang, W, Baladandayuthapani, V., Holmes, CC, Do, KA (2013). Integrative network-based Bayesian analysis of diverse genomics data. BMC Bioinformatics.

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Jennings, EM, Morris, JS, Carroll, RJ, Manyam, GC, Baladandayuthapani, V. (2013). Bayesian methods for expression-based integration of various types of genomics data. EURASIP J Bioinform Syst Biol.

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Srivastava, S., Wang, W., Manyam, G., Ordonez, C, Baladandayuthapani, V. (2013). Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. EURASIP J Bioinform Syst Biol.

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Ordonez, C, García-García, J, Garcia-Alvarado, C, Cabrera, W, Baladandayuthapani, V., S. Quraishi, Mohammed (2013). Data mining algorithms as a service in the cloud exploiting relational database systems. 2013 ACM SIGMOD International Conference on Management of Data.

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Wang W*, Baladandayuthapani, V., Morris JS, Broom BM, Manyam G, Do KA. (2012). iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. Bioinformatics.

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Jennings EM, Morris JS, Carroll RJ, Manyam GC, Baladandayuthapani, V. (2012). Hierarchical Bayesian methods for integration of various types of genomics data. IEEE.

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Bonato, V, Baladandayuthapani, V., Broom, BM, Sulman, EP, Aldape, KD, Do, KA (2011). Bayesian ensemble methods for survival prediction in gene expression data. Bioinformatics.

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Lin, YX, Baladandayuthapani, V., Bonato, V, Do, KA (2010). Estimating Shared Copy Number Aberrations for Array CGH Data: the Linear-Median Method. Cancer Inform.

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Baladandayuthapani, V., Ji, Y, Talluri, R, Nieto-Barajas, LE, Morris, JS (2010). Bayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data. J Am Stat Assoc.

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Navas, M, Ordonez, C, Baladandayuthapani, V. (2010). Fast PCA and Bayesian Variable Selection for Large Data Sets Based on SQL and UDFs. ACM KDD Large-scale Data Mining: Theory and Applications.

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Zhou, L, Huang, JZ, Martinez, JG, Maity, A, Baladandayuthapani, V., Carroll, RJ (2010). Reduced rank mixed effects models for spatially correlated hierarchical functional data.. J Am Stat Assoc.

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Baladandayuthapani, V., Mallick, BK, Young Hong, M, Lupton, JR, Turner, ND, Carroll, RJ (2009). Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis. Biometrics.

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