63 search results - page 1 / 13 » Learning Interpretable SVMs for Biological Sequence Classifi... |
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
BMCBI
2008
13 years 4 months ago
2008
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
BMCBI
2008
13 years 4 months ago
2008
Background: Exonic splicing enhancers (ESEs) activate nearby splice sites and promote the inclusion (vs. exclusion) of exons in which they reside, while being a binding site for S...
BMCBI
2004
13 years 4 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
RECOMB
2004
Springer
14 years 4 months ago
2004
Springer
The prediction of translation initiation sites (TISs) in eukaryotic mRNAs has been a challenging problem in computational molecular biology. In this paper, we present a new algori...