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    ACSC
    2009
    IEEE
    204views Theoretical Computer Science» more  ACSC 2009»
    Inference of Gene Expression Networks Using Memetic Gene Expression Programming
    14 years 3 months ago
    Inference of Gene Expression Networks Using Memetic Gene Expression Programming
    Download  crpit.com
    In this paper we aim to infer a model of genetic networks from time series data of gene expression profiles by using a new gene expression programming algorithm. Gene expression n...
    Armita Zarnegar, Peter Vamplew, Andrew Stranieri
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    BIOSYSTEMS
    2010
    81views more  BIOSYSTEMS 2010»
    Stochastic models for inferring genetic regulation from microarray gene expression data
    13 years 8 months ago
    Stochastic models for inferring genetic regulation from microarray gene expression data
    Download  www.cmss.monash.edu.au
    Tianhai Tian
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    BIOINFORMATICS
    2002
    72views more  BIOINFORMATICS 2002»
    Mixture modelling of gene expression data from microarray experiments
    13 years 8 months ago
    Mixture modelling of gene expression data from microarray experiments
    Download  www.sph.umich.edu
    Debashis Ghosh, Arul M. Chinnaiyan
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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 10 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    NIPS
    2003
    133views Information Technology» more  NIPS 2003»
    ICA-based Clustering of Genes from Microarray Expression Data
    13 years 10 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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