Jessica Gliozzo

BiomiX 3.0 is a multi-omics integration platform that introduces PRAMIGO, a supervised heterogeneous graph transformer, and benchmarks five methods on CLL and PTB datasets, showing that no single method captures all biologically relevant signals.

This study identifies a Th2 immune program linked to desmoid tumor regression through active surveillance and multi-omics analysis.

miss-SNF integrates multimodal patient data with missing sources by recovering patient similarities and identifying clinically relevant subgroups.

The paper analyzes RNA-KG using homogeneous graph embedding methods to predict node types and edges, achieving high accuracy in classification and edge prediction tasks.

This paper introduces a method to guide dimensionality reduction and data fusion in multi-omics data by analyzing intrinsic dimensionality, showing improved performance in predicting survival outcomes.