Adi Steif

Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapies

The paper introduces a deep learning model to infer dormancy pseudotime from single-cell transcriptomic data, revealing how anti-cancer therapies affect tumour cell dormancy states.

clonealign: statistical integration of independent single-cell RNA & DNA-seq from human cancers

clonealign integrates single-cell RNA and DNA sequencing data from cancer samples to identify clone-specific gene expression patterns and dysregulated pathways.

Resource: Scalable whole genome sequencing of 40,000 single cells identifies stochastic aneuploidies, genome replication states and clonal repertoires