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Mechanistic models versus machine learning, a fight worth fighting for the biological community?

Abstract:

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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Publisher copy:
10.1098/rsbl.2017.0660

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0001-5026-8038
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Funding agency for:
Baker, R
Grant:
BB/R000816/1
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Funding agency for:
Baker, R
Grant:
BB/R000816/1
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Funding agency for:
Jerusalem, A
Grant:
EP/N020987/1
More from this funder
Funding agency for:
Jerusalem, A
Grant:
EP/N020987/1
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:
1744-957X
ISSN:
1744-9561
Source identifiers:
845715
Keywords:
Pubs id:
pubs:845715
UUID:
uuid:2b7d93a8-17e9-49fa-ab31-5d2b2512c1e6
Local pid:
pubs:845715
Deposit date:
2018-05-03

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