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    BMCBI
    2005
    169views more  BMCBI 2005»
    An adaptive method for cDNA microarray normalization
    14 years 9 months ago
    An adaptive method for cDNA microarray normalization
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    Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
    Yingdong Zhao, Ming-Chung Li, Richard Simon
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    BMCBI
    2010
    109views more  BMCBI 2010»
    Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
    14 years 9 months ago
    Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
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    Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
    Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
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    BMCBI
    2008
    98views more  BMCBI 2008»
    Empirical Bayes models for multiple probe type microarrays at the probe level
    14 years 9 months ago
    Empirical Bayes models for multiple probe type microarrays at the probe level
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    Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
    Magnus Åstrand, Petter Mostad, Mats Rudemo
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    BMCBI
    2010
    110views more  BMCBI 2010»
    TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach
    14 years 9 months ago
    TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach
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    Background: One of main aims of Molecular Biology is the gain of knowledge about how molecular components interact each other and to understand gene function regulations. Using mi...
    Pietro Zoppoli, Sandro Morganella, Michele Ceccare...
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    EVOW
    2010
    Springer
    291views Artificial Intelligence» more  EVOW 2010»
    Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions
    15 years 4 months ago
    Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions
    Download  www.lib.ncsu.edu
    DEODHAR, SUSHAMNA DEODHAR. Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology. (Under the direction of Dr. Alison Motsinger-Re...
    Sushamna Deodhar, Alison A. Motsinger-Reif
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