| Record ID | marc_columbia/Columbia-extract-20221130-031.mrc:210084876:3923 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:210084876:3923?format=raw |
LEADER: 03923cam a2200745Ii 4500
001 15117199
005 20220703233611.0
006 m o d
007 cr cnu---unuuu
008 170202s2016 flua ob 001 0 eng d
010 $a 2016304940
035 $a(OCoLC)ocn971136680
035 $a(NNC)15117199
040 $aN$T$beng$erda$epn$cN$T$dUKMGB$dOCLCF$dIDEBK$dEBLCP$dOCLCQ$dOCL$dSSC$dEZ9$dMOQ$dOCLCQ$dOTZ$dAU@$dUKAHL$dOCLCQ$dZCU$dVT2$dOCLCO
016 7 $a016816923$2Uk
019 $a885458301$a960710184$a1272924528
020 $a9781584889915$q(electronic bk.)
020 $a1584889918$q(electronic bk.)
020 $z158488990X
020 $z1482262363
020 $z1498752977
020 $z9781584889908
035 $a(OCoLC)971136680$z(OCoLC)885458301$z(OCoLC)960710184$z(OCoLC)1272924528
037 $a960476$bMIL
050 4 $aRC254.5
072 7 $aHEA$x039000$2bisacsh
072 7 $aMED$x014000$2bisacsh
072 7 $aMED$x022000$2bisacsh
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072 7 $aMED$x045000$2bisacsh
072 7 $aPS$2bicscc
082 04 $a616.994$223
049 $aZCUA
100 1 $aKuang, Yang,$d1965-$eauthor.
245 10 $aIntroduction to mathematical oncology /$cYang Kuang, John D. Nagy and Steffen E. Eikenberry.
246 30 $aMathematical oncology
264 1 $aBoca Raton, FL :$bCRC Press,$c2016.
300 $a1 online resource :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 0 $aOnline resource; title from PDF title page (EBSCO, viewed February 2, 2017).
500 $aCharacters with diacritics outside of the ISO 8859-1 character set will be represented without diacritical marks.
504 $aIncludes bibliographical references and index.
505 0 $aFront Cover; Contents; Preface; Chapter 1: Introduction to Theory in Medicine; Chapter 2: Introduction to Cancer Modeling; Chapter 3: Spatially Structured Tumor Growth; Chapter 4: Physiologically Structured Tumor Growth; Chapter 5: Prostate Cancer: PSA, AR, and ADT Dynamics; Chapter 6: Resource Competition and Cell Quota in Cancer Models; Chapter 7: Natural History of Clinical Cancer; Chapter 8: Evolutionary Ecology of Cancer; Chapter 9: Models of Chemotherapy; Chapter 10: Major Anticancer Chemotherapies; Chapter 11: Radiation Therapy; Chapter 12: Chemical Kinetics.
520 3 $aIntroduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models.
650 0 $aOncology$xMathematical models.
650 0 $aBiomathematics.
650 2 $aOncology$xmathematical models
650 6 $aCancérologie$xModèles mathématiques.
650 6 $aBiomathématiques.
650 7 $aHEALTH & FITNESS$xDiseases$xGeneral.$2bisacsh
650 7 $aMEDICAL$xClinical Medicine.$2bisacsh
650 7 $aMEDICAL$xDiseases.$2bisacsh
650 7 $aMEDICAL$xEvidence-Based Medicine.$2bisacsh
650 7 $aMEDICAL$xInternal Medicine.$2bisacsh
650 7 $aBiomathematics.$2fast$0(OCoLC)fst00832555
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aNagy, John D.,$eauthor.
700 1 $aEikenberry, Stephen E.,$eauthor.
776 08 $iPrint version$z9781584889908
830 0 $aChapman and Hall/CRC mathematical & computational biology series.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15117199$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS