Predictive Model for The Classification of Genes Associated with Abiotic Stress-resistant Traits in Rice Using Supervised Machine Learning

This research is the Final Year Project for my BSc in Bioinformatics. For this research, I will be developing machine learning-based predictive models in classifying genes that are related to abiotic stress-resistant traits in rice.

Research Aim and Objective

The aim of this study is to establish the predictive model for the classification of genes associated with abiotic stress-resistant traits in rice. Inline with this, there are 3 specific objectives which are:

• To construct a training dataset.
• To develop a supervised machine learning-based predictive model.
• To validate the accuracy and efficiency of the predictive models.

Rice (Oryza sativa) data will be collected from MARDI as well as public databases, knowledge sources, and scientific literature.

Methodology

Results

Trait Classification (classification of related traits for each gene)

Gene Classification (grouping of the same genes together)