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FBM

Basic user manual

In R, call FBM.cpp using

> sourceCpp(paste(PATH, "/FBM.cpp", sep=""))

After data is stored as a list data, following instructions in example.R, call full MCMC run by

> results <- FBMcpp(data, nItr, seed, "Full")

MCMC results are saved in list results, to be estimated. Despite what's provided in this repo, different versions of estimating and plotting code can be applied to results tailored to users' specific need.

In case issues raised without being fixed in a timely matter, please contact author directly at fangz.ark@gmail.com

Toy example

The data files under toy_example_data folder can be read by toy_example.R. Alt text

Reference Zhou Fang, Tianzhou Ma, Gong Tang, Li Zhu, Qi Yan, Ting Wang, Juan C Celedón, Wei Chen, George C Tseng; Bayesian integrative model for multi-omics data with missingness, Bioinformatics, , bty775, https://doi.org/10.1093/bioinformatics/bty775

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Full Bayesian model with missing handling

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