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Bio-inspired Reverse Engineering of Regulatory Networks: A Revised Approach

Leon Pozo, Pedro
Master thesis
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URI
http://hdl.handle.net/11250/252776
Date
2011
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  • Institutt for datateknologi og informatikk [3955]
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
Publisher
Institutt for datateknikk og informasjonsvitenskap

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