Reliable Machine Learning for Omics Data

This PhD thesis investigates the reliable application of machine learning (ML) and deep learning (DL) methods to omics data, with particular emphasis on high-dimensional, low-sample-size settings commonly encountered in foodomics and agronomy. The work focuses on improving methodological rigor, inte... View More