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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 4 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    BMCBI
    2008
    141views more  BMCBI 2008»
    The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation
    13 years 5 months ago
    The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation
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    Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
    Chenggang Yu, Nela Zavaljevski, Valmik Desai, Seth...
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    JCB
    2006
    129views more  JCB 2006»
    GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data
    13 years 4 months ago
    GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data
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    Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays ...
    Brendan J. Frey, Quaid Morris, Timothy R. Hughes
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    BMCBI
    2006
    151views more  BMCBI 2006»
    Modeling Sage data with a truncated gamma-Poisson model
    13 years 4 months ago
    Modeling Sage data with a truncated gamma-Poisson model
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    Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
    Helene H. Thygesen, Aeilko H. Zwinderman
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    BMCBI
    2005
    198views more  BMCBI 2005»
    Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
    13 years 4 months ago
    Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
    Download  www.biomedcentral.com
    Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
    Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
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