Category: R Programming & Development

Fusing Machine Learning in R: Late Integration Predictive Modeling with fuseMLR

Introduction Recent technological advances have enabled the simultaneous collection of multi-omics data, i.e., different types or modalities of molecular data across various organ tissues of patients. For integrative predictive modeling, analyzing such data presents several challenges: Data Availability: Ideally, different modalities are measured in the same individuals, enabling early or intermediate integration techniques. However, real-world […]