9189 search results - page 294 / 1838 » Biological data mining |
156
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CIE
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Computational biomodelers adopt either of the following approaches: build rich, as complete as possible models in an effort to obtain very realistic models, or on the co...
138
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IWANN
2009
Springer
16 years 1 months ago
2009
Springer
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
193
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DEXAW
2006
IEEE
16 years 26 days ago
2006
IEEE
In order for ontologies to be broadly useful to the scientific community, they need to capture knowledge and expertise of multiple experts and research groups. Consequently, the ...
160
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BIRD
2007
Springer
15 years 10 months ago
2007
Springer
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
194
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AUSAI
2008
Springer
15 years 8 months ago
2008
Springer
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...