Yasser EL‐Manzalawy

This study refines differential gene expression analysis using machine learning to identify a 10-gene signature for predicting pediatric sepsis mortality with an AUC of 0.89.

This study develops a network-based biomarker discovery framework for IBD using metagenomics data and shows it performs well, especially with small datasets.

This study develops a multi-view feature selection method to predict ovarian cancer survival using multi-omics data and shows it outperforms single-view and baseline fusion approaches.

Proxi is a Python package that learns proximity graphs from metagenomic data, supporting k-NN, r-NN, and pk-NN graphs.

This study introduces a CCA-based multi-view feature selection method for integrating multi-omics data, showing improved survival prediction for kidney renal clear cell carcinoma compared to single-view and existing fusion approaches.