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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 7 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    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
    2011
    230views Artificial Intelligence» more  BMCBI 2011»
    DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
    13 years 2 months ago
    DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
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    Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
    Jesse Eickholt, Xin Deng, Jianlin Cheng
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    AUTOMATICA
    2006
    150views more  AUTOMATICA 2006»
    Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
    13 years 7 months ago
    Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
    Download  guppy.mpe.nus.edu.sg
    In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
    Chong Jin Ong, Dan Sui, Elmer G. Gilbert
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    BMCBI
    2005
    107views more  BMCBI 2005»
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    13 years 7 months ago
    Protein subcellular localization prediction for Gram-negative bacteria using amino acid subalphabets and a combination of multip
    Download  www.biomedcentral.com
    Background: Predicting the subcellular localization of proteins is important for determining the function of proteins. Previous works focused on predicting protein localization in...
    Jiren Wang, Wing-Kin Sung, Arun Krishnan, Kuo-Bin ...
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    KDD
    2004
    ACM
    163views Data Mining» more  KDD 2004»
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    14 years 7 months ago
    A Novel Approach for Prediction of Protein Subcellular Localization from Sequence Using Fourier Analysis and Support Vector Mach
    Download  array.bioengr.uic.edu
    Zhengdeng Lei, Yang Dai
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