On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs. - Mario Navas; Carlos Ordonez 001; Veerabhadran Baladandayuthapani (ICDM, 2010)

Bayesian ensemble methods for survival prediction in gene expression data. - Vinícius Bonato; Veerabhadran Baladandayuthapani; Bradley M. Broom; Erik P. Sulman; Kenneth D. Aldape; Kim-Anh Do (Bioinform., 2011)

Querying external source code files of programs connecting to a relational database. - Carlos Garcia-Alvarado; Carlos Ordonez 001; Veerabhadran Baladandayuthapani (PIKM, 2012)

Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. - Karl B. Gregory; Kevin R. Coombes; Amin A. Momin; Luc Girard; Lauren A. Byers; Steven Lin; Michael Peyton; John V. Heymach; John D. Minna; Veerabhadran Baladandayuthapani (GENSiPS, 2012)

Hierarchical Bayesian methods for integration of various types of genomics data. - Elizabeth M. Jennings; Jeffrey S. Morris; Raymond J. Carroll; Ganiraju Manyam; Veerabhadran Baladandayuthapani (GENSiPS, 2012)

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. - Sanvesh Srivastava; Wenyi Wang 001; Pascal O. Zinn; Rivka R. Colen; Veerabhadran Baladandayuthapani (GENSiPS, 2012)

Bayesian variable selection for linear regression in high dimensional microarray data. - Wellington Cabrera; Carlos Ordonez 001; David Sergio Matusevich; Veerabhadran Baladandayuthapani (DTMBIO, 2013)

A fast convergence clustering algorithm merging MCMC and EM methods. - David Sergio Matusevich; Carlos Ordonez 001; Veerabhadran Baladandayuthapani (CIKM, 2013)

Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. - Anindya Bhadra; Veerabhadran Baladandayuthapani (GENSiPS, 2013)

Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma. - Rolando J. Olivares; Arvind U. K. Rao; Ganesh Rao; Jeffrey S. Morris; Veerabhadran Baladandayuthapani (GENSiPS, 2013)

Data mining algorithms as a service in the cloud exploiting relational database systems. - Carlos Ordonez 001; Javier García-García 001; Carlos Garcia-Alvarado; Wellington Cabrera; Veerabhadran Baladandayuthapani; Mohammed S. Quraishi (SIGMOD Conference, 2013)

iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. - Wenting Wang; Veerabhadran Baladandayuthapani; Jeffrey S. Morris; Bradley M. Broom; Ganiraju Manyam; Kim-Anh Do (Bioinform., 2013)

Integrative network-based Bayesian analysis of diverse genomics data. - Wenting Wang; Veerabhadran Baladandayuthapani; Chris C. Holmes; Kim-Anh Do (BMC Bioinform., 2013)

Bayesian methods for expression-based integration of various types of genomics data. - Elizabeth M. Jennings; Jeffrey S. Morris; Raymond J. Carroll; Ganiraju Manyam; Veerabhadran Baladandayuthapani (EURASIP J. Bioinform. Syst. Biol., 2013)

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. - Sanvesh Srivastava; Wenyi Wang 001; Ganiraju Manyam; Carlos Ordonez 001; Veerabhadran Baladandayuthapani (EURASIP J. Bioinform. Syst. Biol., 2013)

Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic Data. - Karl B. Gregory; Amin A. Momin; Kevin R. Coombes; Veerabhadran Baladandayuthapani (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets. - Carlos Ordonez 001; Carlos Garcia-Alvarado; Veerabhadran Baladandayuthapani (ACM Trans. Knowl. Discov. Data, 2014)

DINGO: differential network analysis in genomics. - Min Jin Ha; Veerabhadran Baladandayuthapani; Kim-Anh Do (Bioinform., 2015)

Integrative Bayesian analysis of neuroimaging-genetic data through hierarchical dimension reduction. - Shabnam Azadeh; Brian P. Hobbs; Liangsuo Ma; David A. Nielsen; F. Gerard Moeller; Veerabhadran Baladandayuthapani (ISBI, 2016)

Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence. - Shabnam Azadeh; Brian P. Hobbs; Liangsuo Ma; David A. Nielsen; F. Gerard Moeller; Veerabhadran Baladandayuthapani (NeuroImage, 2016)

Tree-based methods for characterizing tumor density heterogeneity. - Katherine Shoemaker; Brian P. Hobbs; Karthik Bharath; Chaan S. Ng; Veerabhadran Baladandayuthapani (PSB, 2018)

iDINGO - integrative differential network analysis in genomics with Shiny application. - Caleb A. Class; Min Jin Ha; Veerabhadran Baladandayuthapani; Kim-Anh Do (Bioinform., 2018)

Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer. - Sayantan Banerjee; Rehan Akbani; Veerabhadran Baladandayuthapani (Comput. Stat. Data Anal., 2019)

Advanced magnetic resonance imaging based algorithm for local grading of glioma. - Evan D. H. Gates; Jonathan S. Lin; Jeffrey S. Weinberg; Sujit S. Prabhu; Jackson Hamilton; John D. Hazle; Gregory N. Fuller; Veerabhadran Baladandayuthapani; David T. Fuentes; Dawid Schellingerhout (Computer-Aided Diagnosis, 2020)

Network-Based Matching of Patients and Targeted Therapies for Precision Oncology. - Qingzhi Liu; Min Jin Ha; Rupam Bhattacharyya 002; Lana X. Garmire; Veerabhadran Baladandayuthapani (PSB, 2020)

NExUS: Bayesian simultaneous network estimation across unequal sample sizes. - Priyam Das; Christine B. Peterson; Kim-Anh Do; Rehan Akbani; Veerabhadran Baladandayuthapani (Bioinform., 2020)

Quantile Graphical Models: a Bayesian Approach. - Nilabja Guha; Veerabhadran Baladandayuthapani; Bani K. Mallick (J. Mach. Learn. Res., 2020)

Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure. - Yang Ni; Francesco C. Stingo; Veerabhadran Baladandayuthapani (J. Mach. Learn. Res., 2022)

SpaceX: gene co-expression network estimation for spatial transcriptomics. - Satwik Acharyya; Xiang Zhou; Veerabhadran Baladandayuthapani (Bioinform., 2022)

Tumor radiogenomics in gliomas with Bayesian layered variable selection. - Shariq Mohammed; Sebastian Kurtek; Karthik Bharath; Arvind Rao; Veerabhadran Baladandayuthapani (Medical Image Anal., 2023)

DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices. - Maria Masotti; Nathaniel Osher; Joel Eliason; Arvind Rao; Veerabhadran Baladandayuthapani (Patterns, 2023)

Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe). - Neel Desai; Veerabhadran Baladandayuthapani; Russell T. Shinohara; Jeffrey S. Morris (J. Comput. Graph. Stat., 2025)