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    BIOINFORMATICS
    2006
    105views more  BIOINFORMATICS 2006»
    Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
    15 years 3 months ago
    Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
    Download  noble.gs.washington.edu
    Darrin P. Lewis, Tony Jebara, William Stafford Nob...
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    143
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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
    16 years 3 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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    156
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    BMCBI
    2005
    155views more  BMCBI 2005»
    Mining protein function from text using term-based support vector machines
    15 years 3 months ago
    Mining protein function from text using term-based support vector machines
    Download  www.biomedcentral.com
    Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
    Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
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    131
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    BMCBI
    2008
    114views more  BMCBI 2008»
    Combining classifiers for improved classification of proteins from sequence or structure
    15 years 3 months ago
    Combining classifiers for improved classification of proteins from sequence or structure
    Download  www.kyb.tuebingen.mpg.de
    Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
    Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
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    138
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    BIBM
    2008
    IEEE
    172views Bioinformatics» more  BIBM 2008»
    Boosting Methods for Protein Fold Recognition: An Empirical Comparison
    15 years 10 months ago
    Boosting Methods for Protein Fold Recognition: An Empirical Comparison
    Download  www.cs.wayne.edu
    Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
    Yazhene Krishnaraj, Chandan K. Reddy
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