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    BMCBI
    2005
    109views more  BMCBI 2005»
    Automation of gene assignments to metabolic pathways using high-throughput expression data
    14 years 10 months ago
    Automation of gene assignments to metabolic pathways using high-throughput expression data
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    Background: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing ...
    Liviu Popescu, Golan Yona
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    BMCBI
    2011
    230views Artificial Intelligence» more  BMCBI 2011»
    Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis
    14 years 2 months ago
    Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis
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    Background: Analysis of Cerebrospinal Fluid (CSF) samples holds great promise to diagnose neurological pathologies and gain insight into the molecular background of these patholog...
    Lionel Blanchet, Agnieszka Smolinska, Amos Attali,...
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    KDD
    2008
    ACM
    137views Data Mining» more  KDD 2008»
    Learning classifiers from only positive and unlabeled data
    15 years 11 months ago
    Learning classifiers from only positive and unlabeled data
    Download  cseweb.ucsd.edu
    The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
    Charles Elkan, Keith Noto
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    BMCBI
    2007
    132views more  BMCBI 2007»
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    14 years 10 months ago
    On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve
    Download  www.biomedcentral.com
    Background: Novel molecular and statistical methods are in rising demand for disease diagnosis and prognosis with the help of recent advanced biotechnology. High-resolution mass s...
    Jingjing Ye, Hao Liu, Crystal Kirmiz, Carlito B. L...
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    JCB
    2007
    130views more  JCB 2007»
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    14 years 10 months ago
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    Download  morrislab.med.utoronto.ca
    MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
    Jim C. Huang, Quaid Morris, Brendan J. Frey
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