254-Flexynesis: for Multi-Omics Data Integration

Paper Talk · Nov 22, 2025 · 16m

The paper introduces Flexynesis, a novel deep learning toolkit designed for the bulk integration of multi-omics data, primarily aimed at precision oncology applications. The authors developed Flexynesis to address the limitations of existing deep learning methods, which often lack transparency, modularity, and easy deployability for clinical and preclinical research. Flexynesis offers a comprehensive framework that streamlines data processing, allows users to choose from various deep learning or classical machine learning architectures, and supports diverse tasks like regression…