dc.contributor.advisor | Haddow, Pauline | nb_NO |
dc.contributor.author | Leon Pozo, Pedro | nb_NO |
dc.date.accessioned | 2014-12-19T13:38:13Z | |
dc.date.available | 2014-12-19T13:38:13Z | |
dc.date.created | 2012-02-23 | nb_NO |
dc.date.issued | 2011 | nb_NO |
dc.identifier | 505167 | nb_NO |
dc.identifier | ntnudaim:6750 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/252776 | |
dc.description.abstract | This work appears to complement an existingproject, Bio-inpired reverse engineering of regula-tory networks [STH09], proposes a new algorithminspired in the artificial development technique per-forming reverse engineering over regulatory networks.The present project studies that article addressingpossible weaknesses and scalability issues. Neverthe-less, during the investigation some updates have beenperformed over the algorithm, improving the previ-ous results in some scenarios. Moreover DARBNshave been used as representation, looking for an alter-native update schema and its possible improvementsover results. Lastly, software reusable tools have beenimplemented and documented to allow additional ex-periments.5 | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim:6750 | no_NO |
dc.subject | MTDT datateknikk | no_NO |
dc.subject | Datateknikk | no_NO |
dc.title | Bio-inspired Reverse Engineering of Regulatory Networks: A Revised Approach | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 40 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |