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    BMCBI
    2007
    207views more  BMCBI 2007»
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
    13 years 8 months ago
    Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clus
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    Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
    Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shu...
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    BMCBI
    2008
    127views more  BMCBI 2008»
    MetaMine - A tool to detect and analyse gene patterns in their environmental context
    13 years 8 months ago
    MetaMine - A tool to detect and analyse gene patterns in their environmental context
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    Background: Modern sequencing technologies allow rapid sequencing and bioinformatic analysis of genomes and metagenomes. With every new sequencing project a vast number of new pro...
    Uta Bohnebeck, Thierry Lombardot, Renzo Kottmann, ...
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    BMCBI
    2008
    116views more  BMCBI 2008»
    MScanner: a classifier for retrieving Medline citations
    13 years 8 months ago
    MScanner: a classifier for retrieving Medline citations
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    Background: Keyword searching through PubMed and other systems is the standard means of retrieving information from Medline. However, ad-hoc retrieval systems do not meet all of t...
    Graham L. Poulter, Daniel L. Rubin, Russ B. Altman...
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    BMCBI
    2008
    115views more  BMCBI 2008»
    Probe signal correction for differential methylation hybridization experiments
    13 years 8 months ago
    Probe signal correction for differential methylation hybridization experiments
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    Background: Non-biological signal (or noise) has been the bane of microarray analysis. Hybridization effects related to probe-sequence composition and DNA dye-probe interactions h...
    Dustin P. Potter, Pearlly Yan, Tim Hui-Ming Huang,...
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    BMCBI
    2008
    126views more  BMCBI 2008»
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
    13 years 8 months ago
    c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
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    Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
    Katerina Kechris, Hao Li
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