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    BMCBI
    2006
    239views more  BMCBI 2006»
    Applying dynamic Bayesian networks to perturbed gene expression data
    14 years 9 months ago
    Applying dynamic Bayesian networks to perturbed gene expression data
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    Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
    Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...
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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    14 years 9 months ago
    Gene selection algorithms for microarray data based on least squares support vector machine
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    Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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    BMCBI
    2006
    172views more  BMCBI 2006»
    A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
    14 years 9 months ago
    A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
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    Background: Tandem mass spectrometry (MS/MS) is a powerful tool for protein identification. Although great efforts have been made in scoring the correlation between tandem mass sp...
    Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang,...
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    BMCBI
    2006
    113views more  BMCBI 2006»
    QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyp
    14 years 9 months ago
    QualitySNP: a pipeline for detecting single nucleotide polymorphisms and insertions/deletions in EST data from diploid and polyp
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    Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
    Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
    14 years 9 months ago
    Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
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    Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
    Malik Yousef, Segun Jung, Louise C. Showe, Michael...
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