This repository contains code supporting the text "Bayesian classification, anomaly detection, and survival analysis using network inputs with application to the microbiome"
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.
Algorithm | File |
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1 | R/gp_functions.gibbs_slice.R |
2 | R/gp_functions.survival.R |
Figure(s) | File |
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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 |
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1 | Microbiome/microbiome.R |
2 | Microbiome/microbiome_baseline.R |
Microbiome/microbiome.R |
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.
Arroyo Relión, Jesús D., et al. "Network classification with applications to brain connectomics." The Annals of Applied Statistics 13.3 (2019): 1648-1677.