M. El-Kebir

TRIBAL infers B cell lineage trees from scRNA-seq data by integrating isotype information, improving accuracy in capturing somatic mutations and class switch dynamics.

The paper proves that finding a consensus tree minimizing the total ancestor-descendant distance is NP-hard for tumor phylogenies.

CloMu is a reinforcement learning-based model for predicting cancer clonal evolution, outperforming existing methods in mutation causality and fitness prediction.

ClonArch visualizes the spatial clonal architecture of tumors by integrating phylogenetic trees and spatial data to examine intratumor heterogeneity.