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

• Main Author: Leon Pozo, Pedro
• Format: Others
• Language: English
• Published: Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap 2011
• Subjects: ntnudaim:6750; MTDT datateknikk; Datateknikk
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-15686

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