388 search results - page 45 / 78 » Learning Methods for DNA Binding in Computational Biology |
118
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DAGSTUHL
2009
14 years 10 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
BICOB
2010
Springer
14 years 7 months ago
2010
Springer
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
101
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ECCB
2003
IEEE
15 years 3 months ago
2003
IEEE
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
BMCBI
2005
14 years 9 months ago
2005
Background: Gene set enrichment analysis (GSEA) is a microarray data analysis method that uses predefined gene sets and ranks of genes to identify significant biological changes i...
114
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ASM
2008
ASM
14 years 11 months ago
2008
ASM
Abstract. We survey the use of the Abstract State Machines (ASM) method for a rigorous foundation of modeling and validating web services, workflows, interaction patterns and busin...