Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced
algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on …

Chromothripsis is a mutational phenomenon characterized by massive, clustered genomic
rearrangements that occurs in cancer and other diseases. Recent studies in selected cancer …

… and Cortes-Ciriano, I. Artificial intelligence in drug discovery: what is realistic, what are
illusions? Part 2: A discussion of chemical and biological data used for AI in drug discovery. …

The Cancer Genome Atlas (TCGA) has catalyzed systematic characterization of diverse
genomic alterations underlying human cancers. At this historic junction marking the completion …

Tumor behavior is intricately dependent on the oncogenic properties of cancer cells and
their multi-cellular interactions. To understand these dependencies within the wider …

Focal copy-number amplification is an oncogenic event. Although recent studies have revealed
the complex structure 1 , 2 – 3 and the evolutionary trajectories 4 of oncogene amplicons…

Distilling biologically meaningful information from cancer genome sequencing data requires
comprehensive identification of somatic alterations using rigorous computational methods. …

Proteochemometric (PCM) modelling is a computational method to model the bioactivity of
multiple ligands against multiple related protein targets simultaneously. Hence it has been …

A high tumour mutational burden (hypermutation) is observed in some gliomas 1 , 2 , 3 , 4 –
5 ; however, the mechanisms by which hypermutation develops and whether it predicts the …

Cancers require telomere maintenance mechanisms for unlimited replicative potential. They
achieve this through TERT activation or alternative telomere lengthening associated with …