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» MDGA: motif discovery using a genetic algorithm
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ISMB
1996
13 years 9 months ago
The Megaprior Heuristic for Discovering Protein Sequence Patterns
Several computeralgorithms for discovering patterns in groups of protein sequences are in use that are basedon fitting the parametersof a statistical model to a group of related s...
Timothy L. Bailey, Michael Gribskov
BMCBI
2008
108views more  BMCBI 2008»
13 years 8 months ago
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroun
Background: Few genetic factors predisposing to the sporadic form of amyotrophic lateral sclerosis (ALS) have been identified, but the pathology itself seems to be a true multifac...
Silvana Penco, Massimo Buscema, Maria Cristina Pat...
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
13 years 11 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
BMCBI
2005
107views more  BMCBI 2005»
13 years 7 months ago
ProbeMaker: an extensible framework for design of sets of oligonucleotide probes
Background: Procedures for genetic analyses based on oligonucleotide probes are powerful tools that can allow highly parallel investigations of genetic material. Such procedures r...
Johan Stenberg, Mats Nilsson, Ulf Landegren
IEEEICCI
2002
IEEE
14 years 24 days ago
Computational Intelligence for Medical Knowledge Acquisition with Application to Glaucoma
This paper presents an approach that integrates computational intelligence/soft computing paradigms with clinical investigation methods and knowledge. Computational intelligence m...
Nicolae Varachiu, Cynthia Karanicolas, Mihaela Uli...