Dr. David Puett along with Drs. Ying Xu and Juan Cui have published a new book that provides a framework for computational researchers studying the basics of cancer through comparative analyses of online data.
“Cancer Bioinformatics” discusses how key cancer pathways can be analyzed and discovered to derive new insights into the disease and identifies diagnostic and prognostic markers for cancer. Chapters explain the basic cancer biology and how cancer develops, including the many potential survival routes. The examination of gene-expression patterns uncovers commonalities across multiple cancers and specific characteristics of individual cancer types. The authors also treat cancer as an evolving complex system, explore future case studies, and summarize the essential online data sources. Cancer Bioinformatics is designed for practitioners and researchers working in cancer research and bioinformatics. It is also suitable as a secondary textbook for advanced-level students studying computer science, biostatistics or biomedicine.
David Puett is an adjunct professor with the Department of Biochemistry and Biophysics and Regents Professor and Department Head Emeritus of the Department of Biochemistry and Molecular Biology and the University of Georgia. He received his Ph.D. from UNC in 1969 with Jan Hermans as his doctoral adviser. Prior to returning to Georgia in 2013, he held faculty and administrative positions at the Vanderbilt University School of Medicine (Nashville, TN), the University of Miami School of Medicine (Miami, FL), and the University of Georgia (Athens, GA).
Book Link: http://www.springer.com/computer/bioinformatics/book/978-1-4939-1380-0