Pinned Repositories
Linked_precision_matrices
MCMC and simulation code for "Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer’s Disease"
aPCoA
Covariate-adjusted principal coordinates analysis
BAZE
Bayesian zero-constrained regression with compositional covariates
bHUB
Bayesian inference of hub nodes across multiple networks
COZINE
COmpositional Zero-Inflated Network Estimation
JointGVS
Joint graph and variable selection
MicrobiomeCluster
This package includes basic functions calculating OTU and CROTU abundance. It also provides distance and levels of tree nodes and tips from its root. Researchers can use MicrobiomeCluster package to manipulate an existing tree by trimming or growing branches, or check if a Beta metric is suitable for clustering a dataset.
multiGGM
Bayesian inference of multiple Gaussian graphical models
MultiplePlatformBayesianNetworks
Associated files for Shaddox E, Peterson CB, Stingo FC, Hanania N, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. (2020) Bayesian inference of networks across multiple sample groups and data types. Biostatistics. 10(1): 59-85.
NExUS
Bayesian Simultaneous Network Estimation across Unequal Sample sizes
cbpeterson's Repositories
cbpeterson/VEVAR-fmri
cbpeterson/Meta-analysis-of-Censored-AEs
cbpeterson/MicrobiomeCluster
This package includes basic functions calculating OTU and CROTU abundance. It also provides distance and levels of tree nodes and tips from its root. Researchers can use MicrobiomeCluster package to manipulate an existing tree by trimming or growing branches, or check if a Beta metric is suitable for clustering a dataset.
cbpeterson/aPCoA
Covariate-adjusted principal coordinates analysis
cbpeterson/CATMicrobiome
Conditional association testing for microbiome data analysis
cbpeterson/taro-package
Tree-aggregated factor regression for microbiome data integration
cbpeterson/survivalContour
Plot predicted survival with colored contour plot using various methods
cbpeterson/QA_Contours
Data and code for Wooten et al. (2022)
cbpeterson/RVS
Code for Shoemaker et al. (2023)
cbpeterson/ReliableRadiomicsVS
cbpeterson/sparseMbClust
MFMDM and MFMDTM to cluster microbiome data
cbpeterson/SCOR
Spherically Constrained Optimization Routine (SCOR) to identify the optimal linear combination of biomarkers
cbpeterson/QUANTICO
Code for Das et al. "Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer"
cbpeterson/sBMI
Sparse Bayesian meta-analysis with interaction selection
cbpeterson/SINC
SINC code from the paper "Latent Network Estimation and Variable Selection for Compositional Data via Variational EM"
cbpeterson/multiGGM
Bayesian inference of multiple Gaussian graphical models
cbpeterson/COZINE
COmpositional Zero-Inflated Network Estimation
cbpeterson/ProgPerm
Progressive permutation for a dynamic representation of the robustness of microbiome discoveries
cbpeterson/TreeBH
Error control for tree-structured hypotheses
cbpeterson/BAZE
Bayesian zero-constrained regression with compositional covariates
cbpeterson/MultiplePlatformBayesianNetworks
Associated files for Shaddox E, Peterson CB, Stingo FC, Hanania N, Cruickshank-Quinn C, Kechris K, Bowler R, Vannucci M. (2020) Bayesian inference of networks across multiple sample groups and data types. Biostatistics. 10(1): 59-85.
cbpeterson/JointGVS
Joint graph and variable selection
cbpeterson/scalable_multiGGM
Associated code for Shaddox E, Stingo F, Peterson CB, Jacobson S, Cruickshank-Quinn C, Kechris K, Bowler R and Vannucci M. (2018). A Bayesian approach for learning gene networks underlying disease severity in COPD. Statistics in Biosciences. 10(1): 59-85.
cbpeterson/Linked_precision_matrices
MCMC and simulation code for "Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer’s Disease"
cbpeterson/bHUB
Bayesian inference of hub nodes across multiple networks
cbpeterson/NExUS
Bayesian Simultaneous Network Estimation across Unequal Sample sizes