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    BMCBI
    2005
    163views more  BMCBI 2005»
    Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
    14 years 9 months ago
    Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data
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    Background: The evaluation of statistical significance has become a critical process in identifying differentially expressed genes in microarray studies. Classical p-value adjustm...
    Nitin Jain, HyungJun Cho, Michael O'Connell, Jae K...
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    BMCBI
    2004
    146views more  BMCBI 2004»
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
    14 years 9 months ago
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
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    Background: Functional genomics studies are yielding information about regulatory processes in the cell at an unprecedented scale. In the yeast S. cerevisiae, DNA microarrays have...
    Feng Gao, Barrett C. Foat, Harmen J. Bussemaker
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    KDD
    2004
    ACM
    108views Data Mining» more  KDD 2004»
    Sleeved coclustering
    15 years 10 months ago
    Sleeved coclustering
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    A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
    Avraham A. Melkman, Eran Shaham
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    BMCBI
    2006
    119views more  BMCBI 2006»
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
    14 years 9 months ago
    Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
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    Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
    Zihua Hu, Gail R. Willsky
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    BMCBI
    2004
    117views more  BMCBI 2004»
    Cancer characterization and feature set extraction by discriminative margin clustering
    14 years 9 months ago
    Cancer characterization and feature set extraction by discriminative margin clustering
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    Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
    Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
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