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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
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    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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    BIBM
    2009
    IEEE
    155views Bioinformatics» more  BIBM 2009»
    Towards Reliable Isoform Quantification Using RNA-Seq Data
    14 years 3 months ago
    Towards Reliable Isoform Quantification Using RNA-Seq Data
    Download  www.biomedcentral.com
    Background: In eukaryotes, alternative splicing often generates multiple splice variants from a single gene. Here weexplore the use of RNA sequencing (RNA-Seq) datasets to address...
    Brian E. Howard, Steffen Heber
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    BMCBI
    2007
    156views more  BMCBI 2007»
    Large-scale clustering of CAGE tag expression data
    13 years 8 months ago
    Large-scale clustering of CAGE tag expression data
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    Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
    Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
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    BMCBI
    2008
    202views more  BMCBI 2008»
    Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    13 years 8 months ago
    Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data
    Download  www.biomedcentral.com
    Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
    Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
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    BMCBI
    2005
    121views more  BMCBI 2005»
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    13 years 8 months ago
    Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
    Download  www.biomedcentral.com
    Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
    Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...
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