Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration

di Morris, Jeffrey S., Baladandayuthapani, Veerabhadran
Pubblicato in Stat Modelling (2017)

Rejoinder to statistical contributions to bioinformatics: Design, modelling, structure learning and Integration

di Morris, Jeffrey S, Baladandayuthapani, Veerabhadran
Pubblicato in Stat Modelling (2017)

Bayesian Disease Classification Using Copy Number Data

di Guha, Subharup, Ji, Yuan, Baladandayuthapani, Veerabhadran
Pubblicazione 2014

Inferring network structure in non-normal and mixed discrete-continuous genomic data

di Bhadra, Anindya, Rao, Arvind, Baladandayuthapani, Veerabhadran
Pubblicato in Biometrics (2017)

Bayesian sparse graphical models and their mixtures

di Talluri, Rajesh, Baladandayuthapani, Veerabhadran, Mallick, Bani K.
Pubblicazione 2014

Integrative Bayesian Network Analysis of Genomic Data

di Ni, Yang, Stingo, Francesco C, Baladandayuthapani, Veerabhadran
Pubblicazione 2014

Bayesian Nonlinear Model Selection for Gene Regulatory Networks

di Ni, Yang, Stingo, Francesco C., Baladandayuthapani, Veerabhadran
Pubblicato in Biometrics (2015)

Prediction-Oriented Marker Selection (PROMISE): With Application to High-Dimensional Regression

di Kim, Soyeon, Baladandayuthapani, Veerabhadran, Lee, J. Jack
Pubblicato in Stat Biosci (2016)

Functional interaction-based nonlinear models with application to multi-platform genomics data

di Davenport, Clemontina A., Maity, Arnab, Baladandayuthapani, Veerabhadran
Pubblicato in Stat Med (2018)

Classification, Predictive Modelling, and Statistical Analysis of Cancer Data (A)

di Jiang, Hongmei, An, Lingling, Baladandayuthapani, Veerabhadran, Auer, Paul Livermore
Pubblicazione 2014

Prognostic Gene Signature Identification Using Causal Structure Learning: Applications in Kidney Cancer

di Ha, Min Jin, Baladandayuthapani, Veerabhadran, Do, Kim-Anh
Pubblicato in Cancer Inform (2015)

DINGO: differential network analysis in genomics

di Ha, Min Jin, Baladandayuthapani, Veerabhadran, Do, Kim-Anh
Pubblicato in Bioinformatics (2015)

Radiologic image-based statistical shape analysis of brain tumours

di Bharath, Karthik, Kurtek, Sebastian, Rao, Arvind, Baladandayuthapani, Veerabhadran
Pubblicato in J R Stat Soc Ser C Appl Stat (2018)

Bayesian Structure Learning in Multi-layered Genomic Networks

di Ha, Min Jin, Stingo, Francesco Claudio, Baladandayuthapani, Veerabhadran
Pubblicato in J Am Stat Assoc (2020)

Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines

di Srivastava, Sanvesh, Wang, Wenyi, Manyam, Ganiraju, Ordonez, Carlos, Baladandayuthapani, Veerabhadran
Pubblicazione 2013

Integrative network-based Bayesian analysis of diverse genomics data

di Wang, Wenting, Baladandayuthapani, Veerabhadran, Holmes, Chris C, Do, Kim-Anh
Pubblicazione 2013

Bayesian Data Integration and Variable Selection for Pan-Cancer Survival Prediction using Protein Expression Data

di Maity, Arnab Kumar, Bhattacharya, Anirban, Mallick, Bani K., Baladandayuthapani, Veerabhadran
Pubblicato in Biometrics (2019)

Quantile Function on Scalar Regression Analysis for Distributional Data

di Yang, Hojin, Baladandayuthapani, Veerabhadran, Rao, Arvind U.K., Morris, Jeffrey S.
Pubblicato in J Am Stat Assoc (2019)

AUTOMATED ANALYSIS OF QUANTITATIVE IMAGE DATA USING ISOMORPHIC FUNCTIONAL MIXED MODELS, WITH APPLICATION TO PROTEOMICS DATA

di Morris, Jeffrey S., Baladandayuthapani, Veerabhadran, Herrick, Richard C., Sanna, Pietro, Gutstein, Howard
Pubblicazione 2011

Bayesian Joint Selection of Genes and Pathways: Applications in Multiple Myeloma Genomics

di Zhang, Lin, Morris, Jeffrey S, Zhang, Jiexin, Orlowski, Robert Z, Baladandayuthapani, Veerabhadran
Pubblicato in Cancer Inform (2014)