GenomicNeuralnet¶

Description¶

This python code leverages the pybrain and scikit-learn libraries, as well as a built-in artifical neural network implementation to perform genomic selection on genotypic and phenotypic data. It compares prediction accuracy between modeling methods. The purpose of this codebase is to evaluate the predictive performance of neural networks and other alternate statistical modeling techniques when compared to 1. Standard mixed linear models 2. Published alternative models

Environment Modules¶

Run module spider genomic-neuralnet to find out what environment modules are available for this application.

Environment Variables¶

HPC_GENOMICNEURALNET_DIR - installation directory
HPC_GENOMICNEURALNET_BIN - executable directory

Categories¶

phylogenetics