.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Cancer Bioinformatics
Xu, Ying; Cui, Juan; Puett, David
€ 67.61
FREE Delivery in Ireland
Description for Cancer Bioinformatics
paperback. Num Pages: 394 pages, 68 black & white illustrations, 30 black & white tables, biography. BIC Classification: MBGR; MJCL; PSA. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 605.
This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It 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 ... Read more
This book provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. It 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 ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer-Verlag New York Inc. United States
Number of pages
394
Condition
New
Number of Pages
368
Place of Publication
New York, United States
ISBN
9781493943036
SKU
V9781493943036
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Cancer Bioinformatics