Veerabhadran Baladandayuthapani

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 11

Top Topics

Network Analysis

Gaussian Graphical Models

Variable Selection

Low Grade Gliomas

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Maria Masotti, Nathaniel Osher, Joel Eliason, Arvind Rao, Veerabhadran Baladandayuthapani
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices. Patterns 4 (12) (2023)
Shariq Mohammed, Sebastian Kurtek, Karthik Bharath, Arvind Rao, Veerabhadran Baladandayuthapani
Tumor radiogenomics in gliomas with Bayesian layered variable selection. Medical Image Anal. 90 (2023)
Satwik Acharyya, Xiang Zhou, Veerabhadran Baladandayuthapani
SpaceX: gene co-expression network estimation for spatial transcriptomics. Bioinform. 38 (22) (2022)
Yang Ni, Francesco C. Stingo, Veerabhadran Baladandayuthapani
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure. J. Mach. Learn. Res. 23 (2022)
Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology. PSB (2020)
Priyam Das, Christine B. Peterson, Kim-Anh Do, Rehan Akbani, Veerabhadran Baladandayuthapani
NExUS: Bayesian simultaneous network estimation across unequal sample sizes. Bioinform. 36 (3) (2020)
Sayantan Banerjee, Rehan Akbani, Veerabhadran Baladandayuthapani
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer. Comput. Stat. Data Anal. 132 (2019)
Katherine Shoemaker, Brian P. Hobbs, Karthik Bharath, Chaan S. Ng, Veerabhadran Baladandayuthapani
Tree-based methods for characterizing tumor density heterogeneity. PSB (2018)
Caleb A. Class, Min Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
iDINGO - integrative differential network analysis in genomics with Shiny application. Bioinform. 34 (7) (2018)
Shabnam Azadeh, Brian P. Hobbs, Liangsuo Ma, David A. Nielsen, F. Gerard Moeller, Veerabhadran Baladandayuthapani
Integrative Bayesian analysis of neuroimaging-genetic data through hierarchical dimension reduction. ISBI (2016)
Shabnam Azadeh, Brian P. Hobbs, Liangsuo Ma, David A. Nielsen, F. Gerard Moeller, Veerabhadran Baladandayuthapani
Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence. NeuroImage 125 (2016)
Min Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
DINGO: differential network analysis in genomics. Bioinform. 31 (21) (2015)
Carlos Ordonez, Carlos Garcia-Alvarado, Veerabhadran Baladandayuthapani
Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets. ACM Trans. Knowl. Discov. Data 9 (1) (2014)
Karl B. Gregory, Amin A. Momin, Kevin R. Coombes, Veerabhadran Baladandayuthapani
Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 11 (6) (2014)
Rolando J. Olivares, Arvind U. K. Rao, Ganesh Rao, Jeffrey S. Morris, Veerabhadran Baladandayuthapani
Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma. GENSiPS (2013)
Sanvesh Srivastava, Wenyi Wang, Ganiraju Manyam, Carlos Ordonez, Veerabhadran Baladandayuthapani
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. EURASIP J. Bioinform. Syst. Biol. 2013 (2013)
David Sergio Matusevich, Carlos Ordonez, Veerabhadran Baladandayuthapani
A fast convergence clustering algorithm merging MCMC and EM methods. CIKM (2013)
Wenting Wang, Veerabhadran Baladandayuthapani, Chris C. Holmes, Kim-Anh Do
Integrative network-based Bayesian analysis of diverse genomics data. BMC Bioinform. 14 (S-13) (2013)
Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju Manyam, Kim-Anh Do
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data. Bioinform. 29 (2) (2013)
Anindya Bhadra, Veerabhadran Baladandayuthapani
Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. GENSiPS (2013)
Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam, Veerabhadran Baladandayuthapani
Bayesian methods for expression-based integration of various types of genomics data. EURASIP J. Bioinform. Syst. Biol. 2013 (2013)
Carlos Ordonez, Javier García-García, Carlos Garcia-Alvarado, Wellington Cabrera, Veerabhadran Baladandayuthapani, Mohammed S. Quraishi
Data mining algorithms as a service in the cloud exploiting relational database systems. SIGMOD Conference (2013)
Wellington Cabrera, Carlos Ordonez, David Sergio Matusevich, Veerabhadran Baladandayuthapani
Bayesian variable selection for linear regression in high dimensional microarray data. DTMBIO (2013)
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
Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. GENSiPS (2012)
Sanvesh Srivastava, Wenyi Wang, Pascal O. Zinn, Rivka R. Colen, Veerabhadran Baladandayuthapani
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. GENSiPS (2012)
Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam, Veerabhadran Baladandayuthapani
Hierarchical Bayesian methods for integration of various types of genomics data. GENSiPS (2012)
Carlos Garcia-Alvarado, Carlos Ordonez, Veerabhadran Baladandayuthapani
Querying external source code files of programs connecting to a relational database. PIKM (2012)
Vinícius Bonato, Veerabhadran Baladandayuthapani, Bradley M. Broom, Erik P. Sulman, Kenneth D. Aldape, Kim-Anh Do
Bayesian ensemble methods for survival prediction in gene expression data. Bioinform. 27 (3) (2011)
Mario Navas, Carlos Ordonez, Veerabhadran Baladandayuthapani
On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs. ICDM (2010)