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    BMCBI
    2010
    172views more  BMCBI 2010»
    Comparison of evolutionary algorithms in gene regulatory network model inference
    13 years 8 months ago
    Comparison of evolutionary algorithms in gene regulatory network model inference
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    Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
    Alina Sîrbu, Heather J. Ruskin, Martin Crane
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    BMCBI
    2006
    86views more  BMCBI 2006»
    Identification of QTLs controlling gene expression networks defined a priori
    13 years 8 months ago
    Identification of QTLs controlling gene expression networks defined a priori
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    Background: Gene expression microarrays allow the quantification of transcript accumulation for many or all genes in a genome. This technology has been utilized for a range of inv...
    Daniel J. Kliebenstein, Marilyn A. L. West, Hans v...
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    MICCAI
    2006
    Springer
    160views Medical Imaging» more  MICCAI 2006»
    Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
    14 years 9 months ago
    Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
    Download  isgwww.cs.uni-magdeburg.de
    Abstract. The quantitative assessment of neck lymph nodes in the context of malign tumors requires an ecient segmentation technique for lymph nodes in tomographic 3D datasets. We p...
    Bernhard Preim, Gero Strauß, Heiko Seim, Ilk...
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    BMCBI
    2010
    130views more  BMCBI 2010»
    A statistical approach to finding overlooked genetic associations
    13 years 8 months ago
    A statistical approach to finding overlooked genetic associations
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    Background: Complexity and noise in expression quantitative trait loci (eQTL) studies make it difficult to distinguish potential regulatory relationships among the many interactio...
    Andrew K. Rider, Geoffrey Siwo, Nitesh V. Chawla, ...
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    BMCBI
    2006
    186views more  BMCBI 2006»
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
    13 years 8 months ago
    Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
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    Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
    Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
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