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    BMCBI
    2007
    151views more  BMCBI 2007»
    A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
    13 years 8 months ago
    A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
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    Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
    Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
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    BMCBI
    2008
    167views more  BMCBI 2008»
    Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
    13 years 8 months ago
    Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
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    Background: Most microarray experiments are carried out with the purpose of identifying genes whose expression varies in relation with specific conditions or in response to enviro...
    Stefano Parodi, Vito Pistoia, Marco Muselli
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 10 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
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    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    BMCBI
    2006
    131views more  BMCBI 2006»
    The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison
    13 years 8 months ago
    The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison
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    Background: Analysis of DNA microarray data takes as input spot intensity measurements from scanner software and returns differential expression of genes between two conditions, t...
    Allan A. Sioson, Shrinivasrao P. Mane, Pinghua Li,...
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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
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    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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