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    BMCBI
    2007
    119views more  BMCBI 2007»
    A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments
    13 years 9 months ago
    A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments
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    Background: Gas chromatography-mass spectrometry (GC-MS) is a robust platform for the profiling of certain classes of small molecules in biological samples. When multiple samples ...
    Mark D. Robinson, David P. De Souza, Woon Wai Keen...
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    BMCBI
    2008
    173views more  BMCBI 2008»
    Improved machine learning method for analysis of gas phase chemistry of peptides
    13 years 9 months ago
    Improved machine learning method for analysis of gas phase chemistry of peptides
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    Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
    Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
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    BMCBI
    2007
    97views more  BMCBI 2007»
    SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
    13 years 9 months ago
    SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets
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    Background: Array comparative genome hybridization (aCGH) provides information about genomic aberrations. Alterations in the DNA copy number may cause the cell to malfunction, lea...
    Carmen Lai, Hugo M. Horlings, Marc J. van de Vijve...
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    BMCBI
    2007
    169views more  BMCBI 2007»
    Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
    13 years 9 months ago
    Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and i
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    Background: Gene expression microarray and other multiplex data hold promise for addressing the challenges of cellular complexity, refined diagnoses and the discovery of well-targ...
    Abdallah Sayyed-Ahmad, Kagan Tuncay, Peter J. Orto...
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    BMCBI
    2008
    93views more  BMCBI 2008»
    Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
    13 years 9 months ago
    Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
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    Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
    Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
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