Scripts for our NN-Bayes paper: Tianjing Zhao, Rohan L. Fernando, and Hao Cheng. "Interpretable Artificial Neural Networks incorporating Bayesian Alphabet Models for Genome-wide Prediction and Association Studies." bioRxiv (2021). see here
To perform NN-Bayes in JWAS, please see latest examples here. More details can be found in the documentation of JWAS. The scripts here may be invalid due to the updated NN-Bayes interface in JWAS.
Below is the description of each folder:
| Folder name | Description |
|---|---|
| data_simulation | scripts to simulate data & simulated data |
| real_pig_data | genotype, phenotype, map file for pig |
| genomic_prediction_analysis | scripts for genomic prediction |
| gwas_analysis | scripts for gwas |
Other real datasets can be downloaded from: Azodi, Christina B., et al. "Benchmarking parametric and machine learning models for genomic prediction of complex traits." G3: Genes, Genomes, Genetics 9.11 (2019): 3691-3702.