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» Semi-supervised protein classification using cluster kernels
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BMCBI
2008
80views more  BMCBI 2008»
14 years 12 months ago
Towards an automatic classification of protein structural domains based on structural similarity
Background: Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual ste...
Vichetra Sam, Chin-Hsien Tai, Jean Garnier, Jean-F...
BMCBI
2005
124views more  BMCBI 2005»
14 years 11 months ago
Probabilistic annotation of protein sequences based on functional classifications
: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. ...
Emmanuel D. Levy, Christos A. Ouzounis, Walter R. ...
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BMCBI
2005
117views more  BMCBI 2005»
14 years 11 months ago
An SVM-based system for predicting protein subnuclear localizations
Background: The large gap between the number of protein sequences in databases and the number of functionally characterized proteins calls for the development of a fast computatio...
Zhengdeng Lei, Yang Dai
BMCBI
2008
179views more  BMCBI 2008»
14 years 12 months ago
Building pathway clusters from Random Forests classification using class votes
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
Herbert Pang, Hongyu Zhao
ICONIP
2004
15 years 1 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen