dc.contributor.author | Rezwan, F. | |
dc.contributor.author | Sun, Yi. | |
dc.contributor.author | Robinson, M. | |
dc.contributor.author | Adams, R.G. | |
dc.contributor.author | Rust, A.G. | |
dc.contributor.author | Davey, N. | |
dc.date.accessioned | 2009-10-19T09:17:42Z | |
dc.date.available | 2009-10-19T09:17:42Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Rezwan , F , Sun , Y , Robinson , M , Adams , R G , Rust , A G & Davey , N 2008 , ' Combining experts in order to identify binding sites in genomic data ' , Proceedings of the , vol. 2008 . | |
dc.identifier.other | PURE: 94345 | |
dc.identifier.other | PURE UUID: 95c225a4-2512-408a-a0ac-6ebebd66e363 | |
dc.identifier.other | dspace: 2299/3966 | |
dc.identifier.uri | http://hdl.handle.net/2299/3966 | |
dc.description.abstract | The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to know both the identity of the regulatory transcription factors together with the location of their binding sites in the genome. We show that using an SVM together with data sampling to classify the combination of the results of individual algorithms specialised for the prediction of binding site locations, can produce significant improvements upon the original algorithms. The resulting classifier produces fewer false positive predictions and so reduces the expensive experimental procedure of verifying the predictions. | en |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the | |
dc.title | Combining experts in order to identify binding sites in genomic data | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.contributor.institution | Science, Technology and Creative Arts Central | |
dc.description.status | Peer reviewed | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |