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    » A meta-data based method for DNA microarray imputation
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    BMCBI
    2005
    115views more  BMCBI 2005»
    MPrime: efficient large scale multiple primer and oligonucleotide design for customized gene microarrays
    14 years 11 months ago
    MPrime: efficient large scale multiple primer and oligonucleotide design for customized gene microarrays
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    Background: Enhancements in sequencing technology have recently yielded assemblies of large genomes including rat, mouse, human, fruit fly, and zebrafish. The availability of larg...
    Eric C. Rouchka, Abdelnaby Khalyfa, Nigel G. F. Co...
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    15 years 1 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
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    We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
    Su-In Lee, Serafim Batzoglou
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    BMCBI
    2010
    172views more  BMCBI 2010»
    Comparison of evolutionary algorithms in gene regulatory network model inference
    14 years 11 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
    2005
    201views more  BMCBI 2005»
    Principal component analysis for predicting transcription-factor binding motifs from array-derived data
    14 years 11 months ago
    Principal component analysis for predicting transcription-factor binding motifs from array-derived data
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    Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
    Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    15 years 1 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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