Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/6141
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dc.contributor.authorTucker, A-
dc.contributor.authorDuplisea, D-
dc.date.accessioned2012-01-16T15:18:37Z-
dc.date.available2012-01-16T15:18:37Z-
dc.date.issued2012-
dc.identifier.citationPhilosophical Transactions of the Royal Society: Part B, 367: 279 - 290, Jan 2012en_US
dc.identifier.issn0962-8436-
dc.identifier.urihttp://rstb.royalsocietypublishing.org/content/367/1586/279.abstracten
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/6141-
dc.descriptionThis article is made available throught the Brunel Open Access Publishing Fund - Copygith @ 2012 Tucker et al.en_US
dc.description.abstractThere has been a huge effort in the advancement of analytical techniques for molecular biological data over the past decade. This has led to many novel algorithms that are specialized to deal with data associated with biological phenomena, such as gene expression and protein interactions. In contrast, ecological data analysis has remained focused to some degree on off-the-shelf statistical techniques though this is starting to change with the adoption of state-of-the-art methods, where few assumptions can be made about the data and a more explorative approach is required, for example, through the use of Bayesian networks. In this paper, some novel bioinformatics tools for microarray data are discussed along with their ‘crossover potential’ with an application to fisheries data. In particular, a focus is made on the development of models that identify functionally equivalent species in different fish communities with the aim of predicting functional collapse.en_US
dc.language.isoenen_US
dc.publisherRoyal Society Publishingen_US
dc.subjectBioinformaticsen_US
dc.subjectBayesian networksen_US
dc.subjectClassificationen_US
dc.subjectDynamic modelsen_US
dc.subjectFisheries managementen_US
dc.titleBioinformatics tools in predictive ecology: Applications to fisheriesen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1098/rstb.2011.0184-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths-
pubs.organisational-data/Brunel/Brunel Active Staff/School of Info. Systems, Comp & Maths/IS and Computing-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Information Systems, Computing and Mathematics - URCs and Groups/Centre for Information and Knowledge Management-
Appears in Collections:Computer Science
Brunel OA Publishing Fund
Dept of Computer Science Research Papers

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