Biomedical Informatics for Cancer Research

by Springer US
State: New
VAT included - FREE Shipping
Springer US Biomedical Informatics for Cancer Research
Springer US - Biomedical Informatics for Cancer Research

Do you like this product? Spread the word!

£171.60 incl. VAT
Only 1 items available Only 3 items available
Delivery: between Tuesday, 10 August 2021 and Thursday, 12 August 2021
Sales & Shipping: Dodax EU


view, showing that multiple molecular pathways must be affected for cancer to develop, but with different specific proteins in each pathway mutated or differentially expressed in a given tumor (The Cancer Genome Atlas Research Network 2008; Parsons et al. 2008). Different studies demonstrated that while widespread mutations exist in cancer, not all mutations drive cancer development (Lin et al. 2007). This suggests a need to target only a deleterious subset of aberrant proteins, since any tre- ment must aim to improve health to justify its potential side effects. Treatment for cancer must become highly individualized, focusing on the specific aberrant driver proteins in an individual. This drives a need for informatics in cancer far beyond the need in other diseases. For instance, routine treatment with statins has become widespread for minimizing heart disease, with most patients responding to standard doses (Wilt et al. 2004). In contrast, standard treatment for cancer must become tailored to the molecular phenotype of an individual tumor, with each patient receiving a different combination of therapeutics aimed at the specific aberrant proteins driving the cancer. Tracking the aberrations that drive cancers, identifying biomarkers unique to each individual for molecular-level di- nosis and treatment response, monitoring adverse events and complex dosing schedules, and providing annotated molecular data for ongoing research to improve treatments comprise a major biomedical informatics need.

Further information

Illustrations Note:
20 schwarz-weiße und 37 farbige Abbildungen, 3 schwarz-weiße Fotos
Media Type:
Springer US
Number of Pages:
This is an overview of software produced to aid cancer research. It first reviews informatics in cancer research then covers authentication and authorization, data management, data pipelines and annotations, algorithms and models and the NCI caBIG initiative.

Master Data

Product Type:
Hardback book
Release date:
1 April 2010
Package Dimensions:
0.234 x 0.155 x 0.025 m; 0.658 kg
Manufacturer Part Number:
We use cookies on our website to make our services more efficient and more user-friendly. Therefore please select "Accept cookies"! Please read our Privacy Policy for further information.