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    JCB
    2007
    130views more  JCB 2007»
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    13 years 8 months ago
    Bayesian Inference of MicroRNA Targets from Sequence and Expression Data
    Download  morrislab.med.utoronto.ca
    MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
    Jim C. Huang, Quaid Morris, Brendan J. Frey
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    BIOINFORMATICS
    2005
    105views more  BIOINFORMATICS 2005»
    MADE4: an R package for multivariate analysis of gene expression data
    13 years 8 months ago
    MADE4: an R package for multivariate analysis of gene expression data
    Download  www.hsph.harvard.edu
    Summary: MADE4, microarray ade4, is a software package that facilitates multivariate analysis of microarray gene expression data. MADE4 accepts a wide variety of gene expression d...
    Aedín C. Culhane, Jean Thioulouse, Guy Perr...
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    BMCBI
    2011
    242views Artificial Intelligence» more  BMCBI 2011»
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    13 years 3 months ago
    Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in i
    Download  www.biomedcentral.com
    Background: In the last decades, microarray technology has spread, leading to a dramatic increase of publicly available datasets. The first statistical tools developed were focuse...
    Paolo G. V. Martini, Davide Risso, Gabriele Sales,...
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    BMCBI
    2004
    150views more  BMCBI 2004»
    Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
    13 years 8 months ago
    Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
    Download  www.biomedcentral.com
    Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
    Dietmar E. Martin, Philippe Demougin, Michael N. H...
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    JBI
    2002
    91views Bioinformatics» more  JBI 2002»
    Revising regulatory networks: from expression data to linear causal models
    13 years 8 months ago
    Revising regulatory networks: from expression data to linear causal models
    Download  www.isle.org
    Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
    Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...
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