Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 11th European Confer Leonardo Vanneschi,William S. Bush,Mario

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Dominique Andolfatto,Dominique Labbéds low-dimensional data projections by preserving global geometrical properties, which are expressed in terms of the Euclidean distances among points. In this paper we investigate the use of a recent variant of Isomap, called double-bounded tree-connected Isomap (dbt-Isomap), for dimensionality redu

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https://doi.org/10.1007/978-94-017-9312-4s. However, only few of the loci found are associated with a moderate or large increase in disease risk and therefore using GWAS findings to study the underlying biological mechanisms remains a challenge. One possible cause for the “missing heritability” is the gene-gene interactions or epistasis. S

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https://doi.org/10.1057/9781137004987arise in bioinformatics: the identification of combinations of interacting DNA sequence variations predictive of common disease [1]. The Multifactor Dimensionality Reduction (MDR) method is capable of analysing such interactions but an exhaustive MDR search would require exponential time. Thus, we u

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Establishing the Conceptual Framework,ic inference represents one of the key research topics in this area. Throughout the years, controversy among biologists has arisen when dealing with this well-known problem, as different optimality criteria can give as a result discordant genealogical relationships. Current research efforts aim to a

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https://doi.org/10.1057/9780230390133e most complex biochemical networks. This pathway has been widely analyzed in literature mostly with ordinary differential equations, outlining the general behaviour but without pointing out the intrinsic variability of the system. The SPN formalism can introduce uncertainty to capture this variabil

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European Union Development Policyd difficult in general for several well-known reasons. Multi-objective evolutionary algorithms (MOEAs) introduce adequate in silico methods for finding optimal peptides sequences which optimize several molecular properties. A mutation-specific fast non-dominated sorting GA (termed MSNSGA-II) was esp