Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of biomolecular data on cancer that now …

Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

Over the past decade, we have witnessed an increasing number of large-scale studies that
have provided multi-omics data by high-throughput sequencing approaches. This has …

Multi-scale models integrating biomolecular data from genetic, transcriptional, and
translational levels, coupled with extracellular microenvironments can assist in decoding the …

Recent progress in our understanding of cancer mostly relies on the systematic profiling of
patient samples with high-throughput techniques like transcriptomics. With this approach …

The transformation of normal cells into cancer cells and maintenance of the malignant state
and phenotypes are associated with genetic and epigenetic deregulations, altered cellular …

Cancer has been a paradigmatic example of a complex disease. It is the second leading
cause of death worldwide. Knowledge acquired on the mechanisms and potential causes …

Cancer is a heterogeneous disease, originating in different tissues and involving a number
of distinct molecular pathways. With the growing availability of high-throughput biological …

Computational modeling and analysis of biomolecular network models annotated with
cancer patient-specific multi-omics data can enable the development of personalized …

It is becoming evident that holistic perspectives toward cancer are crucial in deciphering the
overwhelming complexity of tumors. Single-layer analysis of genome-wide data has greatly …