Self-supervised representation learning on gene expression data.

Abstract excerpt

MOTIVATION: Predicting phenotypes from gene expression data is a crucial task in biomedical research, enabling insights into disease mechanisms, drug responses, and personalized medicine. Traditional machine learning and deep learning rely on supervised learning, which requires large quantities of labeled data that are costly and time-consuming to obtain in the case of gene expression data. Self-supervised...

Topics

• Supervised Machine Learning
• Gene Expression Profiling
• Humans
• Computational Biology
• Databases, Genetic
• Phenotype
• Algorithms