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    » Analysis of longitudinal metabolomics data
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    GPEM
    2000
    80views more  GPEM 2000»
    Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
    13 years 7 months ago
    Explanatory Analysis of the Metabolome Using Genetic Programming of Simple, Interpretable Rules
    Download  sci2s.ugr.es
    Genetic programming, in conjunction with advanced analytical instruments, is a novel tool for the investigation of complex biological systems at the whole-tissue level. In this stu...
    Helen E. Johnson, Richard J. Gilbert, Michael K. W...
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    BMCBI
    2011
    249views Artificial Intelligence» more  BMCBI 2011»
    Gene set analysis for longitudinal gene expression data
    12 years 11 months ago
    Gene set analysis for longitudinal gene expression data
    Download  www.biomedcentral.com
    Background: Gene set analysis (GSA) has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. ...
    Ke Zhang, Haiyan Wang, Arne C. Bathke, Solomon W. ...
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    EDM
    2008
    141views Data Mining» more  EDM 2008»
    An Open Repository and analysis tools for fine-grained, longitudinal learner data
    13 years 9 months ago
    An Open Repository and analysis tools for fine-grained, longitudinal learner data
    Download  pslcdatashop.org
    We introduce an open data repository and set of associated visualization and analysis tools. The Pittsburgh Science of Learning Center's "DataShop" has data from tho...
    Kenneth R. Koedinger, Kyle Cunningham, Alida Skogs...
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    BMCBI
    2008
    148views more  BMCBI 2008»
    Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements
    13 years 7 months ago
    Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements
    Download  www.biomedcentral.com
    Background: Liquid chromatography coupled to mass spectrometry (LC-MS) has become a prominent tool for the analysis of complex proteomics and metabolomics samples. In many applica...
    Eva Lange, Ralf Tautenhahn, Steffen Neumann, Cleme...
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    BMCBI
    2007
    173views more  BMCBI 2007»
    Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
    13 years 7 months ago
    Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
    Download  www.biomedcentral.com
    Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
    Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
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