Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and
protein expression, point to biological functions and molecular pathways being deregulated …

While cost-effective high-throughput technologies provide an increasing amount of data, the
analyses of single layers of data seldom provide causal relations. Multi-omics data …

DNA microarrays have been widely applied to the study of human cancer, delineating
myriad molecular subtypes of cancer, many of which are associated with distinct biological …

High-throughput DNA sequencing has revolutionized the study of cancer genomics with
numerous discoveries that are relevant to cancer diagnosis and treatment. The latest …

This chapter discusses general concepts on the generation of omics data, along with
available strategies for multi-omics data analysis and integration in the context of clinical …

Fueled by the complete genomic data acquired from the human genome project and the
desperate clinical need of comprehensive analytical tools to study a heterogeneous disease …

Advancements in next-generation sequencing and other-omics technologies are
accelerating the detailed molecular characterization of individual patient tumors, and driving …

The application of next-generation sequencing technology has produced a transformation in
cancer genomics, generating large data sets that can be analyzed in different ways to …

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 …

Understanding the molecular landscape of cancer has facilitated the development of
diagnostic, prognostic, and predictive biomarkers for clinical oncology. Developments in …