14 search results - page 1 / 3 » Discovering Evolving Regions in Life Science Ontologies |
103
Voted
DILS
2010
Springer
14 years 11 months ago
2010
Springer
Ontologies are heavily used in life sciences and evolve continuously to incorporate new or changed insights. Often ontology changes affect only specific parts (regions) of ontologi...
105
Voted
BMCBI
2008
14 years 10 months ago
2008
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
84
Voted
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
124
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DILS
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...
92
Voted
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Ontologies such as taxonomies, product catalogs or web directories are heavily used and hence evolve frequently to meet new requirements or to better reflect the current instance d...