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» PARM: A Genetic Evolved Algorithm To Predict Bioactivity
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ICAPR
2005
Springer
14 years 7 days ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
BMCBI
2007
133views more  BMCBI 2007»
13 years 6 months ago
AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides
Background: Protein aggregation correlates with the development of several debilitating human disorders of growing incidence, such as Alzheimer's and Parkinson's disease...
Oscar Conchillo-Solé, Natalia S. de Groot, ...
CEC
2005
IEEE
14 years 10 days ago
Evolving hidden Markov models for protein secondary structure prediction
New results are presented for the prediction of secondary structure information for protein sequences using Hidden Markov Models (HMMs) evolved using a Genetic Algorithm (GA). We a...
Kyoung-Jae Won, Thomas Hamelryck, Adam Prügel...
GECCO
2008
Springer
164views Optimization» more  GECCO 2008»
13 years 7 months ago
Genetic algorithms with local search optimization for protein structure prediction problem
This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in both 2D and 3D hydrophobichydrophilic lattice models, introduced in [1]. Our algorithm evol...
Igor Berenboym, Mireille Avigal
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
13 years 9 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta