Veerabhadran Baladandayuthapani

32 papers A* 1A 1Misc 2Journal 18Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe).
J. Comput. Graph. Stat.
Neel Desai, Veerabhadran Baladandayuthapani, Russell T. Shinohara, Jeffrey S. Morris
2023 J jnl
DIMPLE: An R package to quantify, visualize, and model spatial cellular interactions from multiplex imaging with distance matrices.
Patterns
Maria Masotti, Nathaniel Osher, Joel Eliason, Arvind Rao, Veerabhadran Baladandayuthapani
2023 J jnl
Tumor radiogenomics in gliomas with Bayesian layered variable selection.
Medical Image Anal.
Shariq Mohammed, Sebastian Kurtek, Karthik Bharath, Arvind Rao, Veerabhadran Baladandayuthapani
2022 J jnl
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure.
J. Mach. Learn. Res.
Yang Ni, Francesco C. Stingo, Veerabhadran Baladandayuthapani
2022 J jnl
SpaceX: gene co-expression network estimation for spatial transcriptomics.
Bioinform.
Satwik Acharyya, Xiang Zhou, Veerabhadran Baladandayuthapani
2020 — conf
Advanced magnetic resonance imaging based algorithm for local grading of glioma.
Computer-Aided Diagnosis
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
2020 J jnl
NExUS: Bayesian simultaneous network estimation across unequal sample sizes.
Bioinform.
Priyam Das, Christine B. Peterson, Kim-Anh Do, Rehan Akbani, Veerabhadran Baladandayuthapani
2020 Misc conf
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology.
PSB
Qingzhi Liu, Min Jin Ha, Rupam Bhattacharyya, Lana X. Garmire, Veerabhadran Baladandayuthapani
2020 J jnl
Quantile Graphical Models: a Bayesian Approach.
J. Mach. Learn. Res.
Nilabja Guha, Veerabhadran Baladandayuthapani, Bani K. Mallick
2019 J jnl
Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer.
Comput. Stat. Data Anal.
Sayantan Banerjee, Rehan Akbani, Veerabhadran Baladandayuthapani
2018 Misc conf
Tree-based methods for characterizing tumor density heterogeneity.
PSB
Katherine Shoemaker, Brian P. Hobbs, Karthik Bharath, Chaan S. Ng, Veerabhadran Baladandayuthapani
2018 J jnl
iDINGO - integrative differential network analysis in genomics with Shiny application.
Bioinform.
Caleb A. Class, Min Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
2016 — conf
Integrative Bayesian analysis of neuroimaging-genetic data through hierarchical dimension reduction.
ISBI
Shabnam Azadeh, Brian P. Hobbs, Liangsuo Ma, David A. Nielsen, F. Gerard Moeller, Veerabhadran Baladandayuthapani
2016 J jnl
Integrative Bayesian analysis of neuroimaging-genetic data with application to cocaine dependence.
NeuroImage
Shabnam Azadeh, Brian P. Hobbs, Liangsuo Ma, David A. Nielsen, F. Gerard Moeller, Veerabhadran Baladandayuthapani
2015 J jnl
DINGO: differential network analysis in genomics.
Bioinform.
Min Jin Ha, Veerabhadran Baladandayuthapani, Kim-Anh Do
2014 J jnl
Bayesian Variable Selection in Linear Regression in One Pass for Large Datasets.
ACM Trans. Knowl. Discov. Data
Carlos Ordonez, Carlos Garcia-Alvarado, Veerabhadran Baladandayuthapani
2014 J jnl
Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Karl B. Gregory, Amin A. Momin, Kevin R. Coombes, Veerabhadran Baladandayuthapani
2013 A conf
A fast convergence clustering algorithm merging MCMC and EM methods.
CIKM
David Sergio Matusevich, Carlos Ordonez, Veerabhadran Baladandayuthapani
2013 J jnl
Bayesian methods for expression-based integration of various types of genomics data.
EURASIP J. Bioinform. Syst. Biol.
Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam, Veerabhadran Baladandayuthapani
2013 — conf
Bayesian variable selection for linear regression in high dimensional microarray data.
DTMBIO
Wellington Cabrera, Carlos Ordonez, David Sergio Matusevich, Veerabhadran Baladandayuthapani
2013 — conf
Data mining algorithms as a service in the cloud exploiting relational database systems.
SIGMOD Conference
Carlos Ordonez, Javier García-García, Carlos Garcia-Alvarado, Wellington Cabrera, Veerabhadran Baladandayuthapani, Mohammed S. Quraishi
2013 J jnl
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines.
EURASIP J. Bioinform. Syst. Biol.
Sanvesh Srivastava, Wenyi Wang, Ganiraju Manyam, Carlos Ordonez, Veerabhadran Baladandayuthapani
2013 — conf
Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma.
GENSiPS
Rolando J. Olivares, Arvind U. K. Rao, Ganesh Rao, Jeffrey S. Morris, Veerabhadran Baladandayuthapani
2013 J jnl
Integrative network-based Bayesian analysis of diverse genomics data.
BMC Bioinform.
Wenting Wang, Veerabhadran Baladandayuthapani, Chris C. Holmes, Kim-Anh Do
2013 — conf
Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma.
GENSiPS
Anindya Bhadra, Veerabhadran Baladandayuthapani
2013 J jnl
iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data.
Bioinform.
Wenting Wang, Veerabhadran Baladandayuthapani, Jeffrey S. Morris, Bradley M. Broom, Ganiraju Manyam, Kim-Anh Do
2012 — conf
Hierarchical Bayesian methods for integration of various types of genomics data.
GENSiPS
Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam, Veerabhadran Baladandayuthapani
2012 — conf
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines.
GENSiPS
Sanvesh Srivastava, Wenyi Wang, Pascal O. Zinn, Rivka R. Colen, Veerabhadran Baladandayuthapani
2012 — conf
Latent feature decompositions for integrative analysis of diverse high-throughput genomic data.
GENSiPS
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
2012 — conf
Querying external source code files of programs connecting to a relational database.
PIKM
Carlos Garcia-Alvarado, Carlos Ordonez, Veerabhadran Baladandayuthapani
2011 J jnl
Bayesian ensemble methods for survival prediction in gene expression data.
Bioinform.
Vinícius Bonato, Veerabhadran Baladandayuthapani, Bradley M. Broom, Erik P. Sulman, Kenneth D. Aldape, Kim-Anh Do
2010 A* conf
On the Computation of Stochastic Search Variable Selection in Linear Regression with UDFs.
ICDM
Mario Navas, Carlos Ordonez, Veerabhadran Baladandayuthapani