TY  - GEN
TY  - GEN
T1  - Computational Biology Issues and Applications in Oncology
T2  - Applied Bioinformatics and Biostatistics in Cancer Research,
A2  - Pham, Tuan.
A2  - Pham, Tuan.
LA  - English
PP  - New York, NY
PB  - Springer New York : Imprint: Springer
YR  - 2010
ED  - 1st ed. 2010.
UL  - http://discoverylib.upm.edu.my/discovery/Record/978-1-4419-0811-7
AB  - Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.
OP  - 310
CN  - RC261-271
SN  - 9781441908117
KW  - Cancer research.
KW  - Pharmacology.
KW  - Cancer Research.
KW  - Pharmacology/Toxicology.
ER  -