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200 10$aAnalysis of complex diseases $ea mathematical perspective /$fGuanyu Wang
210  1$aBoca Raton :$cCRC Press, Taylor & Francis Group,$d[2014]
210  4$d?2014
215   $a1 online resource (xxi, 196 pages) $cillustrations (some color)
225 0 $aGale eBooks
300   $aDescription based upon print version of record.
311   $a1-4665-7223-X 
320   $aIncludes bibliographical references.
327   $aFood intake and energy metabolism -- Glucose homeostasis -- Optimal glucose homeostasis -- Bistability as a fundamental phenomenon -- Biomolecular network -- P13K-AKT-TOR pathway -- Diseases related to metabolism -- Mathematical modeling of the P13K-AKT-TOR Pathway -- Fundamental decomposition -- Normal phenotype -- Disease phenotypes -- Tao of diseases.
330   $aA complex disease involves many etiological and risk factors operating at multiple levels-molecular, cellular, organismal, and environmental. The incidence of such diseases as cancer, obesity, and diabetes are increasing in occurrence, urging us to think fundamentally and use a broader perspective to identify their connection and revolutionize treatments. The understanding of biological data derived from studying diseases can be enhanced by theories and mathematical models, which clarify the big picture and help to reveal the overarching mechanisms that govern complex biological phenomena.<
606   $aMetabolism$xDisorders
606   $aSystems biology
606   $aBiological models
606   $aGenetic disorders
615  0$aMetabolism$xDisorders.
615  0$aSystems biology.
615  0$aBiological models.
615  0$aGenetic disorders.
676   $a616.3/9
700   $aWang$b Guanyu$c(Physicist),$01697647
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