Veera Baladandayuthapani

Veera Baladandayuthapani

University of Michigan

H-index: 39

North America-United States

About Veera Baladandayuthapani

Veera Baladandayuthapani, With an exceptional h-index of 39 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Biostatistics, Bioinformatics, Bayesian, Machine Learning, Big data.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices

Pan-Cancer Drug Response Prediction Using Integrative Principal Component Regression

Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer

Tumor radiogenomics in gliomas with Bayesian layered variable selection

Probabilistic learning of treatment trees in cancer

A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants

Integrative Bayesian models using Post‐selective inference: A case study in radiogenomics

Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe)

Veera Baladandayuthapani Information

University

Position

Professor Biostatistics

Citations(all)

5634

Citations(since 2020)

2930

Cited By

4138

hIndex(all)

39

hIndex(since 2020)

32

i10Index(all)

83

i10Index(since 2020)

72

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Veera Baladandayuthapani Skills & Research Interests

Biostatistics

Bioinformatics

Bayesian

Machine Learning

Big data

Top articles of Veera Baladandayuthapani

Title

Journal

Author(s)

Publication Date

Geometry-driven Bayesian Inference for Ultrametric Covariance Matrices

arXiv preprint arXiv:2401.11515

Tsung-Hung Yao

Zhenke Wu

Karthik Bharath

Veerabhadran Baladandayuthapani

2024/1

Pan-Cancer Drug Response Prediction Using Integrative Principal Component Regression

bioRxiv

Qingzhi Liu

Gen Li

Veerabhadran Baladandayuthapani

2023

Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer

Biometrics

Priyam Das

Christine B Peterson

Yang Ni

Alexandre Reuben

Jiexin Zhang

...

2023/9

Tumor radiogenomics in gliomas with Bayesian layered variable selection

Medical Image Analysis

Shariq Mohammed

Sebastian Kurtek

Karthik Bharath

Arvind Rao

Veerabhadran Baladandayuthapani

2023/12/1

Probabilistic learning of treatment trees in cancer

Annals of Applied Statistics

Tsung-Hung Yao

Zhenke Wu

Karthik Bharath

Jinju Li

Veerabhadran Baladandayuthapan

2022/9/25

A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants

The Annals of Applied Statistics

Thierry Chekouo

Francesco C Stingo

Shariq Mohammed

Arvind Rao

Veerabhadran Baladandayuthapani

2023/12

Integrative Bayesian models using Post‐selective inference: A case study in radiogenomics

Biometrics

Snigdha Panigrahi

Shariq Mohammed

Arvind Rao

Veerabhadran Baladandayuthapani

2023/9

Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe)

arXiv preprint arXiv:2311.08484

Neel Desai

Veerabhadran Baladandayuthapani

Russell T Shinohara

Jeffrey S Morris

2023/11/14

Optimizing Precision Medicine for Breast Cancer Brain Metastases with Functional Drug Response Assessment

Cancer Research Communications

Aki Morikawa

Jinju Li

Peter Ulintz

Xu Cheng

Athena Apfel

...

2023/6/21

Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks

arXiv preprint arXiv:2310.18474

Tsung-Hung Yao

Yang Ni

Anindya Bhadra

Jian Kang

Veerabhadran Baladandayuthapani

2023/10/27

Probabilistic Graphical Modeling under Heterogeneity

bioRxiv

Liying Chen

Satwik Acharyya

Chunyu Luo

Yang Ni

Veerabhadran Baladandayuthapani

2023/10/17

SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data

Frontiers in Genetics

Nathaniel Osher

Jian Kang

Santhoshi Krishnan

Arvind Rao

Veerabhadran Baladandayuthapani

2023/5/18

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

2023/12/8

Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis

BMJ open

Rupam Bhattacharyya

Anik Burman

Kalpana Singh

Sayantan Banerjee

Subha Maity

...

2022/11/1

BaySyn: Bayesian Evidence Synthesis for Multi-system Multiomic Integration

Rupam Bhattacharyya

Nicholas Henderson

Veerabhadran Baladandayuthapani

2023/1/3

Functional Integrative Bayesian Analysis of High-dimensional Multiplatform Genomic Data

arXiv preprint arXiv:2212.14165

Rupam Bhattacharyya

Nicholas Henderson

Veerabhadran Baladandayuthapani

2022/12/29

Bayesian Covariate-Dependent Quantile Directed Acyclic Graphical Models for Individualized Inference

arXiv preprint arXiv:2210.08096

Ksheera Sagar

Yang Ni

Veerabhadran Baladandayuthapani

Anindya Bhadra

2022/10/14

Bayesian covariate-dependent Gaussian graphical models with varying structure

Journal of Machine Learning Research

Yang Ni

Francesco C Stingo

Veerabhadran Baladandayuthapani

2022

Bayesian graphical models for modern biological applications

Yang Ni

Veerabhadran Baladandayuthapani

Marina Vannucci

Francesco C Stingo

2022/6

NetCellMatch: Multiscale Network‐Based Matching of Cancer Cell Lines to Patients Using Graphical Wavelets

Chemistry & biodiversity

Neel Desai

Jeffrey S Morris

Veerabhadran Baladandayuthapani

2022/12

See List of Professors in Veera Baladandayuthapani University(University of Michigan)

Co-Authors

H-index: 78
Jeffrey S. Morris

Jeffrey S. Morris

University of Pennsylvania

H-index: 52
Yuan Ji, PhD

Yuan Ji, PhD

University of Chicago

H-index: 33
Carlos Ordonez

Carlos Ordonez

University of Houston

H-index: 23
Arnab Maity

Arnab Maity

North Carolina State University

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