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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 9 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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    CSB
    2005
    IEEE
    156views Bioinformatics» more  CSB 2005»
    A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
    14 years 2 months ago
    A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
    Download  conferences.computer.org
    One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
    Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
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    BMCBI
    2007
    227views more  BMCBI 2007»
    Growing functional modules from a seed protein via integration of protein interaction and gene expression data
    13 years 9 months ago
    Growing functional modules from a seed protein via integration of protein interaction and gene expression data
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    Background: Nowadays modern biology aims at unravelling the strands of complex biological structures such as the protein-protein interaction (PPI) networks. A key concept in the o...
    Ioannis A. Maraziotis, Konstantina Dimitrakopoulou...
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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 9 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
    166views more  BMCBI 2008»
    Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
    13 years 9 months ago
    Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
    Download  www.biomedcentral.com
    Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
    Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
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