Fiche de DARVISH SHAFIGHI Shadi

Titre : Probabilistic graphical models for mapping tumor clones in cancerous tissues and single cells
Date : 29 septembre 2023
Heure: 11:00
Résumé : Spatial, genomic, and phenotypic heterogeneity are crucial for understanding cancer progression, treatment, and survival. This thesis is devoted to a modelling of different aspects of tumor heterogeneity. In the first project, we focused on the genomic heterogeneity of the tumor and developed a probabilistic model that leverages independent genomic clustering of cells and single-cell RNA sequencing data to map cells to given genotypes of tumor clones. In the second project, we explored all three aspects of heterogeneity with the main focus on spatial heterogeneity. We developed a probabilistic model to infer the localization of the cancer clones by integrating pathological images, whole-exome sequencing, and spatial transcriptomics data. In the third project, we focused on phenotypic heterogeneity. We proposed a probabilistic model that combines spatial transcriptomics and whole-exome sequencing data to identify clone-specific gene expression profiles in tumor tissue.
Lieu : University of Warsaw