OLUMIDE ONABANJO's Projects
R package for breeding program simulations
This repository contains scripts used during my thesis for genomic data manipulation with Plink, genotype imputation with FImpute3, genetic parameter and GWAS analysis with GCTA, breeding value estimation with BGLR and many more
This script/Function receives data in form of a xlsx, data frame or a matrix and it filters for missing data for both row and column and it recommends the adoption of the one with the lowest percentage data loss of both methods. The data and motivation to write this script was gotten from Professor Armin Schmitt course titled Breeding Informatics at the University of Goettingen
Welcome to DataFrames.jl with Bogumił Kamiński
Differential evolution on top of deep learning for genomic prediction
This is deepGBLUP
A tool to implement Genomic Prediction Experiments using Deep Learning
DeepGS is a R package for predicting phenotypes from genotypes using deep learning techniques.
Can deep learning improve genomic prediction of complex human traits? by Pau Bellot, Gustavo de los Campos, Miguel Pérez-Enciso, Genetics
Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning
easyPheno: a model agnostic phenotype prediction framework
Bash script that allows you to run BEAGLE v3, v4, and FIMPUTE using PLINK format binary input files.
Learn the language basics in this 10-part course.
Config files for my GitHub profile.
A comparison of classical and machine learning-based phenotype prediction methods on simulated data and three plant species