Cancer Bioinformatics

ISBN-13: 9781493943036 / Angielski / Miękka / 2016 / 368 str.

Ying Xu; Juan Cui; David Puett

Opis

This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics.

Spis treści

Basic cancer biology.- Omic data, information derivable and computational needs.- Cancer classification and molecular signature identification.- Understanding cancer at the genomic level.- Elucidation of cancer divers through comparative omic analyses.- Hyaluronic acid: A key facilitator of cancer evolution.- Multiple routes for survival: Understanding how cancer evades apoptosis.- Cancer development in competitive and hostile environments.- Cell proliferation from regulated to deregulated state via epigenomic responses.- Understanding cancer invasion and metastasis.- Cancer after metastasis: The second transformation.- Searching for cancer biomarkers in human body fluids.- In silico investigation of cancer using publicly available data.- Understanding cancer as an evolving complex system: our perspective.