Quantitative biology is an umbrella term encompassing the use of mathematical, statistical or computational techniques to study life and living organisms. The central theme and goal of quantitative biology is the creation of predictive models based on fundamental principles governing living systems.
The subfields of biology that employ quantitative approaches include:
- Mathematical and theoretical biology
- Computational biology
- Bioinformatics
- Biostatistics
- Systems biology
- Population biology
- Synthetic biology
- Epidemiology
References
- Howard, J. (2014-11-03). "Quantitative cell biology: the essential role of theory". Molecular Biology of the Cell. 25 (22). American Society for Cell Biology (ASCB): 3438–3440. doi:10.1091/mbc.e14-02-0715. ISSN 1059-1524. PMC 4230598. PMID 25368416.
- Hastings, Alan; Arzberger, Peter; Bolker, Ben; Collins, Scott; Ives, Anthony R.; Johnson, Norman A.; Palmer, Margaret A. (2005). "Quantitative Bioscience for the 21st Century". BioScience. 55 (6). Oxford University Press (OUP): 511. doi:10.1641/0006-3568(2005)055[0511:QBFTSC]2.0.CO;2. ISSN 0006-3568.
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