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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 9 months ago
    ICA-based Clustering of Genes from Microarray Expression Data
    Download  books.nips.cc
    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
    2005
    132views more  BMCBI 2005»
    Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
    13 years 8 months ago
    Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
    Download  www.biomedcentral.com
    Background: A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed ge...
    Gajendra P. S. Raghava, Joon H. Han
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    CBMS
    2007
    IEEE
    395views Medical Imaging» more  CBMS 2007»
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
    14 years 2 months ago
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
    Download  seacoast.sunderland.ac.uk
    This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
    Kenneth McGarry, Sheila Garfield, Stefan Wermter
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    IJCAI
    2007
    271views Artificial Intelligence» more  IJCAI 2007»
    Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
    13 years 9 months ago
    Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
    Download  www.informatik.uni-hamburg.de
    This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
    Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...
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    APBC
    2004
    138views Bioinformatics» more  APBC 2004»
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    13 years 9 months ago
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    Download  crpit.com
    Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
    See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
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