Journal article
Mechanistic models versus machine learning, a fight worth fighting for the biological community?
- Abstract:
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90% of the world’s data have been generated in the last five years [1]. A small fraction of these data is collected with the aim of validating specific hypotheses. These studies are led by the development of mechanistic models focussed on the causality of input-output relationships. However, the vast majority is aimed at supporting statistical or correlation studies that bypass the need for causality and focus exclusively on prediction. Along these lines, there has been a vast increase i...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 1.4MB)
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- Publisher copy:
- 10.1098/rsbl.2017.0660
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Authors
Funding
+ Biotechnology and Biological Sciences Research Council
More from this funder
Funding agency for:
Baker, R
Grant:
BB/R000816/1
+ European Research Council
More from this funder
Funding agency for:
Jerusalem, A
Grant:
EP/N020987/1
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Jerusalem, A
Grant:
EP/N020987/1
Bibliographic Details
- Publisher:
- Royal Society Publisher's website
- Journal:
- Biology Letters Journal website
- Volume:
- 14
- Issue:
- 5
- Article number:
- 20170660
- Publication date:
- 2018-05-16
- Acceptance date:
- 2018-04-23
- DOI:
- EISSN:
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1744-957X
- ISSN:
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1744-9561
- Source identifiers:
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845715
Item Description
- Keywords:
- Pubs id:
-
pubs:845715
- UUID:
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uuid:2b7d93a8-17e9-49fa-ab31-5d2b2512c1e6
- Local pid:
- pubs:845715
- Deposit date:
- 2018-05-03
Terms of use
- Copyright holder:
- Baker et al
- Copyright date:
- 2018
- Notes:
-
Copyright © 2018 The Authors.
Published by the Royal Society. This is the accepted manuscript version of the article. The final version is available online from the Royal Society at: https://doi.org/10.1098/rsbl.2017.0660
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