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    RECOMB
    2002
    Springer
    124views Computational Biology» more  RECOMB 2002»
    A new approach to analyzing gene expression time series data
    14 years 9 months ago
    A new approach to analyzing gene expression time series data
    Download  www.psrg.lcs.mit.edu
    We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
    Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
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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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    BMCBI
    2007
    144views more  BMCBI 2007»
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
    13 years 9 months ago
    Spectral estimation in unevenly sampled space of periodically expressed microarray time series data
    Download  www.biomedcentral.com
    Background: Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically ...
    Alan Wee-Chung Liew, Jun Xian, Shuanhu Wu, David K...
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    BIOINFORMATICS
    2004
    62views more  BIOINFORMATICS 2004»
    Analyzing time series gene expression data
    13 years 9 months ago
    Analyzing time series gene expression data
    Download  psrg.lcs.mit.edu
    Ziv Bar-Joseph
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    BMCBI
    2008
    148views more  BMCBI 2008»
    BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
    13 years 9 months ago
    BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
    Download  www.na.iac.cnr.it
    Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
    Claudia Angelini, Luisa Cutillo, Daniela De Candit...
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