Monica-Andreea Baciu-Drăgan

OncotreeVIS provides an interactive tool for visualizing mutation tree cohorts and analyzing their properties at the cohort level.

This paper introduces oncotree2vec, a method to embed and cluster tumor mutation trees, capturing genetic relationships for improved tumor subtyping and analysis.

scROSHI identifies cell types without training data by using pre-existing gene sets and hierarchical relationships, outperforming methods in low-data and high-diversity scenarios.

The paper examines SARS-CoV-2 genetic diversity within individual patients, finding that a small number of patients carry most of the diversity and that older patients tend to have more diverse viral variants.