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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 9 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
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    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 9 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
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    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    BMCBI
    2010
    95views more  BMCBI 2010»
    EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
    13 years 9 months ago
    EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results
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    Background: Accurate prediction of antigenic epitopes is important for immunologic research and medical applications, but it is still an open problem in bioinformatics. The case f...
    Shide Liang, Dandan Zheng, Daron M. Standley, Bo Y...
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    BMCBI
    2007
    147views more  BMCBI 2007»
    Improved residue contact prediction using support vector machines and a large feature set
    13 years 9 months ago
    Improved residue contact prediction using support vector machines and a large feature set
    Download  www.eecs.ucf.edu
    Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
    Jianlin Cheng, Pierre Baldi
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    BMCBI
    2010
    88views more  BMCBI 2010»
    Proteome scanning to predict PDZ domain interactions using support vector machines
    13 years 9 months ago
    Proteome scanning to predict PDZ domain interactions using support vector machines
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    Background: PDZ domains mediate protein-protein interactions involved in important biological processes through the recognition of short linear motifs in their target proteins. Tw...
    Shirley Hui, Gary D. Bader
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