LEADER 03116nam  2200625Ia 450 
001 9910451324003321
005 20200520144314.0
010   $a1-281-89708-6
010   $a9786611897086
010   $a981-270-136-2
035   $a(CKB)1000000000334358
035   $a(EBL)296094
035   $a(OCoLC)476063316
035   $a(SSID)ssj0000127561
035   $a(PQKBManifestationID)11141478
035   $a(PQKBTitleCode)TC0000127561
035   $a(PQKBWorkID)10054415
035   $a(PQKB)11680412
035   $a(MiAaPQ)EBC296094
035   $a(WSP)00000752    
035   $a(Au-PeEL)EBL296094
035   $a(CaPaEBR)ebr10173947
035   $a(CaONFJC)MIL189708
035   $a(OCoLC)228170004
035   $a(EXLCZ)991000000000334358
100   $a20040903d2005      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aComputational biology of cancer$b[electronic resource] $electure notes and mathematical modeling /$fDominik Wodarz and Natalia Komarova
210   $aHackensack, NJ $cWorld Scientific$d2005
215   $a1 online resource (266 p.)
300   $aDescription based upon print version of record.
311   $a981-256-027-0 
320   $aIncludes bibliographical references and index.
327   $aPreface; Contents; Chapter 1 Cancer and somatic evolution; Chapter 2 Mathematical modeling of tumorigenesis; Chapter 3 Cancer initiation: one-hit and two-hit stochastic models; Chapter 4 Microsatellite and chromosomal instability in sporadic and familial cancers; Chapter 5 Cellular origins of cancer; Chapter 6 Costs and benefits of chromosomal instability; Chapter 7 DNA damage and genetic instability; Chapter 8 Tissue aging and the development of cancer; Chapter 9 Basic models of tumor inhibition and promotion; Chapter 10 Mechanisms of tumor neovascularization
327   $aChapter 11 Cancer and immune responsesChapter 12 Therapeutic approaches: viruses as anti-tumor weapons; Appendix A Exact formula for total probability of double mutations; Bibliography; Index
330   $aThe book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.
606   $aCancer$xMathematical models
606   $aCancer$xResearch
608   $aElectronic books.
615  0$aCancer$xMathematical models.
615  0$aCancer$xResearch.
676   $a616.99/4/00724
700   $aWodarz$b Dominik$0721741
701   $aKomarova$b Natalia L$0721742
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910451324003321
996   $aComputational biology of cancer$92183696
997   $aUNINA