409 search results - page 26 / 82 » Predicting Nucleolar Proteins Using Support-Vector Machines |
BMCBI
2008
13 years 8 months ago
2008
Background: The heterokonts are a particularly interesting group of eukaryotic organisms; they include many key species of planktonic and coastal algae and several important patho...
BMCBI
2008
13 years 8 months ago
2008
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
JMLR
2008
13 years 8 months ago
2008
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...
IJCAI
2007
13 years 10 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
BMCBI
2010
13 years 8 months ago
2010
Background: It is well known that most of the binding free energy of protein interaction is contributed by a few key hot spot residues. These residues are crucial for understandin...