Zehor Belkhatir

This study examines how CT scan reconstruction kernels and tube current settings affect radiomic features, finding that some features are robust while others vary significantly.

The paper analyzes two single-cell datasets to study how p21 and p53 dynamics influence cell cycle arrest and mitosis frequency after radiation exposure.

The paper introduces a periodicity scoring algorithm for p53 time series and shows its correlation with cell division events.

This study introduces a network-based method combining optimal mass transport and machine learning to predict drug sensitivity in cancer cell lines by clustering genomic and chemical features.

This paper introduces iWCluster, a network-based multiomics clustering method for breast cancer data, which recovers known subtypes and identifies hypoxia-related genes associated with poor prognosis.

The paper introduces a framework using optimal mass transport to construct a network reduction hierarchy for interactive exploration and community detection, applied to gene regulatory networks and validated on biological datasets.