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GP-Networks

This repository contains code supporting the text "Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome"

https://projecteuclid.org/journals/annals-of-applied-statistics/volume-17/issue-1/Bayesian-classification-anomaly-detection-and-survival-analysis-using-network-inputs/10.1214/22-AOAS1623.short

Citation

Josephs, Nathaniel, Lizhen Lin, Steven Rosenberg, and Eric D. Kolaczyk. "Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome." (2023). The Annals of Applied Statistics.

Code

Algorithm File
1 R/gp_functions.gibbs_slice.R
2 R/gp_functions.survival.R

Results

Figure(s) File
1, 9, 11 Microbiome/microbiome.R
2 Microbiome/microbiome_networks.R
4 Simulations/simulation.raw.R
5, 6 Simulations/simulation.class.R
7 Simulations/simulation.occ.R
8 Simulations/simulation.survival.R
10 Microbiome/microbiome_post_hoc.R
Table File
1 Microbiome/microbiome.R
2 Microbiome/microbiome_baseline.R
Microbiome/microbiome.R

Data

Microbiome

DiGiulio, Daniel B., et al. "Temporal and spatial variation of the human microbiota during pregnancy." Proceedings of the National Academy of Sciences 112.35 (2015): 11060-11065.

Connectomics

Arroyo Relión, Jesús D., et al. "Network classification with applications to brain connectomics." The Annals of Applied Statistics 13.3 (2019): 1648-1677.

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