Tools, Software & Datasets
NPBayes-fMRI
User-friendly Matlab GUI that implements a unified, probabilistically coherent nonparametric Bayesian framework for the analysis of task-related fMRI data from multi-subject experiments. Methodology from two papers: Zhang et al (2016) and Kook et al (2016). Software available here.
The hybrid inference method of binary time series
X. Gao, B. Shahbaba, H. Ombao, Modeling Binary Time Series Using Gaussian Processes With Application to Predicting Sleep States, To appear in Journal of Classification. R package code HIBITS can be downloaded here.
Robust-ITS Modeling and Inference for Interrupted Time Series Data
Cruz M, Binder M. and Ombao H. (2017) A Robust Interrupted Time Series Model for Analyzing Complex Healthcare To appear in Statistics in Medicine -- Access the Shiny toolbox here and the corresponding manual here.
HMCluster for clustering of Brain Signals
Euan C., Ombao H. and Ortega J. (2016) "The Hierarchical Spectral Merger algorithm: A New Time Series Clustering Procedure".
Bayesian vector-autoregressive model (BVAR) to measure connectivity
Yu Z, Prado R, Quinlan EB, Cramer SC, Ombao H. (2016) Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach, Journal of the American Statistical Association, 111 (514), 549-563
Modeling Interactions Between Neurons During Decision-Making in Animals
Shababa B, Zhou B, Lan S, Ombao H, Moorman D and Behseta S. (2014). A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons. Neural Computation, 26, 2025-2051.
Bayesian approach for Imaging Genetics (matlab code)
Stingo F.C., Guindani M., Vannucci M. and Calhoun V. (2013). An Integrative Bayesian Modeling Approach to Imaging Genetics. Journal of the American Statistical Association, 108, 876-891.
Processed fMRI and SNP data on 210 subjects from a study on schizophrenia (data in excel format) provided by the MCIC consortium (Gollub et al. 2013 The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data from a Clinical Investigation of Schizophrenia, Neuroinformatics, 11(3), 367-38).