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» Sequence kernels for predicting protein essentiality
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BMCBI
2010
102views more  BMCBI 2010»
13 years 2 months ago
Predicting protein-protein interactions in unbalanced data using the primary structure of proteins
Background: Elucidating protein-protein interactions (PPIs) is essential to constructing protein interaction networks and facilitating our understanding of the general principles ...
Chi-Yuan Yu, Lih-Ching Chou, Darby Tien-Hao Chang
PAKDD
2009
ACM
233views Data Mining» more  PAKDD 2009»
13 years 12 months ago
A Kernel Framework for Protein Residue Annotation
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...
Huzefa Rangwala, Christopher Kauffman, George Kary...
BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
SiteSeek: Post-translational modification analysis using adaptive locality-effective kernel methods and new profiles
Background: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common m...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
HAIS
2009
Springer
13 years 12 months ago
Incremental Kernel Machines for Protein Remote Homology Detection
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
Lionel Morgado, Carlos Pereira
ICPR
2008
IEEE
14 years 8 months ago
Fast protein homology and fold detection with sparse spatial sample kernels
In this work we present a new string similarity feature, the sparse spatial sample (SSS). An SSS is a set of short substrings at specific spatial displacements contained in the or...
Pai-Hsi Huang, Pavel P. Kuksa, Vladimir Pavlovic