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Using real-valued meta classifiers to integrate and contextualize binding site predictions

dc.contributor.authorRobinson, M.
dc.contributor.authorSharabi, O.
dc.contributor.authorSun, Yi.
dc.contributor.authorAdams, R.G.
dc.contributor.authorTe Boekhorst, R.
dc.contributor.authorRust, A.G.
dc.contributor.authorDavey, N.
dc.date.accessioned2007-10-01T09:55:20Z
dc.date.available2007-10-01T09:55:20Z
dc.date.issued2007
dc.identifier.citationRobinson , M , Sharabi , O , Sun , Y , Adams , R G , Te Boekhorst , R , Rust , A G & Davey , N 2007 , Using real-valued meta classifiers to integrate and contextualize binding site predictions . in 07, Lecture Notes in Computer Science 4431 . Springer Nature , pp. 822-829 .
dc.identifier.otherdspace: 2299/759
dc.identifier.urihttp://hdl.handle.net/2299/759
dc.format.extent401496
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartof07, Lecture Notes in Computer Science 4431
dc.titleUsing real-valued meta classifiers to integrate and contextualize binding site predictionsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionScience, Technology and Creative Arts Central
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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