20 search results - page 3 / 4 » Use of machine learning algorithms to classify binary protei... |
HAIS
2009
Springer
13 years 10 months ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
BIBE
2007
IEEE
13 years 9 months ago
2007
IEEE
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
BMCBI
2007
13 years 5 months ago
2007
Background: Predicting a protein’s structural class from its amino acid sequence is a fundamental problem in computational biology. Much recent work has focused on developing ne...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
BICOB
2010
Springer
13 years 3 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...