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Machine learning approaches for the discovery of gene-gene interactions in disease data

Machine learning approaches for the discovery of gene-gene interactions in disease data
Machine learning approaches for the discovery of gene-gene interactions in disease data
1467-5463
Upstill-Goddard, Rosanna
e1ead91c-1bb7-46cc-9b6a-fc8fa1e36e1c
Eccles, Diana
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Upstill-Goddard, Rosanna
e1ead91c-1bb7-46cc-9b6a-fc8fa1e36e1c
Eccles, Diana
5b59bc73-11c9-4cf0-a9d5-7a8e523eee23
Fliege, Jörg
54978787-a271-4f70-8494-3c701c893d98
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64

Upstill-Goddard, Rosanna, Eccles, Diana, Fliege, Jörg and Collins, Andrew (2012) Machine learning approaches for the discovery of gene-gene interactions in disease data. Briefings in Bioinformatics. (In Press)

Record type: Article

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More information

Accepted/In Press date: 2012
Organisations: Faculty of Medicine, Operational Research

Identifiers

Local EPrints ID: 337228
URI: http://eprints.soton.ac.uk/id/eprint/337228
ISSN: 1467-5463
PURE UUID: e1954fac-6b52-4c5f-bfd0-2555d3722933
ORCID for Diana Eccles: ORCID iD orcid.org/0000-0002-9935-3169
ORCID for Jörg Fliege: ORCID iD orcid.org/0000-0002-4459-5419
ORCID for Andrew Collins: ORCID iD orcid.org/0000-0001-7108-0771

Catalogue record

Date deposited: 20 Apr 2012 10:38
Last modified: 19 Feb 2021 02:32

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