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    BMCBI
    2010
    108views more  BMCBI 2010»
    Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
    13 years 8 months ago
    Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of h
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    Background: A major goal of the analysis of high-dimensional RNA expression data from tumor tissue is to identify prognostic signatures for discriminating patient subgroups. For t...
    Birte Hellwig, Jan G. Hengstler, Marcus Schmidt, M...
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    ICASSP
    2011
    IEEE
    271views Signal Processing» more  ICASSP 2011»
    Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor mo
    12 years 11 months ago
    Uncover cooperative gene regulations by microRNAs and transcription factors in glioblastoma using a nonnegative hybrid factor mo
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    —Transcriptional regulation by transcription factors (TFs) and microRNAs controls when and how much RNA is created. Due to technical limitations, the protein level expressions of...
    Jia Meng, Hung-I Harry Chen, Jianqiu Zhang, Yidong...
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    BMCBI
    2007
    106views more  BMCBI 2007»
    Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
    13 years 7 months ago
    Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
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    Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
    Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...
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    BMCBI
    2007
    176views more  BMCBI 2007»
    Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
    13 years 7 months ago
    Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
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    Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
    Marc Strickert, Nese Sreenivasulu, Björn Usad...
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    BMCBI
    2007
    143views more  BMCBI 2007»
    Gene selection for classification of microarray data based on the Bayes error
    13 years 7 months ago
    Gene selection for classification of microarray data based on the Bayes error
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    Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
    Ji-Gang Zhang, Hong-Wen Deng
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