Cancer genetics has led to major discoveries, including protooncogene and tumor‐
suppressor concepts, and cancer genomics generated concepts like driver and passenger …

Insights distilled from integrating multiple big-data or “omic” datasets have revealed
functional hierarchies of molecular networks driving tumorigenesis and modifiers of …

In recent decades, cancer biology and medicine have ushered in a new age of precision
medicine through high-throughput approaches that led to the development of novel targeted …

The search for improved molecular cancer diagnostics is a challenge for which systems
approaches show great promise. As is becoming increasingly clear, cancer is a perpetually …

Multi-omics technologies characterize biological activities by simultaneously integrating
multiple single-modality omics methods, including the transcriptome, genome, epigenome …

Cancer is a major cause of global mortality underpinned by genomic and epigenomic
derangements. Here, we highlight the importance of multimodal data integration in …

Cancer stem cell plasticity refers to the ability of tumour cells to dynamically switch between
states—for example, from cancer stem cells to non-cancer stem cell states. Governed by …

Cancer is a complex and heterogeneous disease, not only at a genetic and biochemical
level, but also at a tissue, organism, and population level. Multiple data streams, from …

It's what we've all searched for at one time or another. That seemingly magical effect when
two plus two appears to add up to more than four. We search for it in datasets. We try to …

The identification of “driver mutations” in cancers initiated rapid development of targeted
drugs for the clinic. Despite promising outcomes initially in patients, the ultimate success of …