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 …

Cancer is a highly complex disease that is often characterized by vast changes in the
genetic and epigenetic landscape. Those changes result in altered protein expression levels …

The twenty-fi rst century has witnessed rapid advancement in computational technologies
that are increasingly being applied in cancer research. Thanks to availability of these high …

Cancer is one of the most prevalent diseases that causes death worldwide. Due to its
extreme heterogeneity and complexity, cancer is often considered as a model case for …

With the extraordinary rise in available biological data, biologists and clinicians need
unbiased tools for data integration in order to reach accurate, succinct conclusions. Network …

The Cancer Genome Atlas project has generated multi-dimensional and highly integrated
genomic data from a large number of patient samples with detailed clinical records across …

Cancer is a complex and heterogeneous disease, demonstrating variations with respect to
tumor types and between individual tumors. This heterogeneity has complicated the search …

With over two hundred types of cancer diagnosed to date, researchers the world over have
been forced to rapidly update their understanding of the biology of cancer. In fact, only the …

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 …

Cancer systems biology aims to understand cancer as an integrated system of genes,
proteins, networks, and interactions rather than an entity of isolated molecular and cellular …