Application of Machine Learning (ML) for common bean breeding
In this repo I will show some of the possible application of ML algorithms for plant breeding
In the QTL_mapping folder I applied feature selection approaches for identifying SNPs associated with a specific phenotype in a bi-parental population of common bean
In the Phenotype_prediction folder I applied regression methods on a dataset of 280 common bean genotypes and tried to predict phenotypes based only on SNPs
In the script folder there are scripts with the function I used for data analysis. Especially for selecting the best models for parameter tuning