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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    13 years 8 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2006
    102views more  BMCBI 2006»
    Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
    13 years 8 months ago
    Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
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    Background: The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the la...
    Tao Han, Jianyong Wang, Weida Tong, Martha M. Moor...
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    BMCBI
    2004
    146views more  BMCBI 2004»
    Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data
    13 years 8 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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    BMCBI
    2010
    165views more  BMCBI 2010»
    Bayesian integrated modeling of expression data: a case study on RhoG
    13 years 8 months ago
    Bayesian integrated modeling of expression data: a case study on RhoG
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    Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
    Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
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    BMCBI
    2010
    132views more  BMCBI 2010»
    Parallel multiplicity and error discovery rate (EDR) in microarray experiments
    13 years 8 months ago
    Parallel multiplicity and error discovery rate (EDR) in microarray experiments
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    Background: In microarray gene expression profiling experiments, differentially expressed genes (DEGs) are detected from among tens of thousands of genes on an array using statist...
    Wayne Wenzhong Xu, Clay J. Carter
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