Literature DB >> 14764866

Uses and abuses of mathematics in biology.

Robert M May1.   

Abstract

In the physical sciences, mathematical theory and experimental investigation have always marched together. Mathematics has been less intrusive in the life sciences, possibly because they have until recently been largely descriptive, lacking the invariance principles and fundamental natural constants of physics. Increasingly in recent decades, however, mathematics has become pervasive in biology, taking many different forms: statistics in experimental design; pattern seeking in bioinformatics; models in evolution, ecology, and epidemiology; and much else. I offer an opinionated overview of such uses--and abuses.

Mesh:

Year:  2004        PMID: 14764866     DOI: 10.1126/science.1094442

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  105 in total

Review 1.  Intuition and innumeracy.

Authors:  Roger Brent
Journal:  Cell Biol Educ       Date:  2004

2.  Prediction of invasion from the early stage of an epidemic.

Authors:  Francisco J Pérez-Reche; Franco M Neri; Sergei N Taraskin; Christopher A Gilligan
Journal:  J R Soc Interface       Date:  2012-04-18       Impact factor: 4.118

3.  Heavy use of equations impedes communication among biologists.

Authors:  Tim W Fawcett; Andrew D Higginson
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

Review 4.  Use of virtual cell in studies of cellular dynamics.

Authors:  Boris M Slepchenko; Leslie M Loew
Journal:  Int Rev Cell Mol Biol       Date:  2010       Impact factor: 6.813

5.  Impact of bed capacity on spatiotemporal shifts in Ebola transmission.

Authors:  Jeffrey P Townsend; Laura A Skrip; Alison P Galvani
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-30       Impact factor: 11.205

Review 6.  The memory of a killer T cell: models of CD8(+) T cell differentiation.

Authors:  Bram Gerritsen; Aridaman Pandit
Journal:  Immunol Cell Biol       Date:  2015-12-24       Impact factor: 5.126

7.  The Croonian Lecture 2004 risk: food, fact and fantasy.

Authors:  John R Krebs
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-06-29       Impact factor: 6.237

8.  Disease contact tracing in random and clustered networks.

Authors:  Istvan Z Kiss; Darren M Green; Rowland R Kao
Journal:  Proc Biol Sci       Date:  2005-07-07       Impact factor: 5.349

9.  Mathematical description of gene regulatory units.

Authors:  Reiko J Tanaka; Hiroyuki Okano; Hidenori Kimura
Journal:  Biophys J       Date:  2006-05-19       Impact factor: 4.033

Review 10.  The rising impact of mathematical modelling in epidemiology: antibiotic resistance research as a case study.

Authors:  L Temime; G Hejblum; M Setbon; A J Valleron
Journal:  Epidemiol Infect       Date:  2007-09-04       Impact factor: 2.451

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