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    IJON
    2008
    128views more  IJON 2008»
    Independent arrays or independent time courses for gene expression time series data analysis
    13 years 8 months ago
    Independent arrays or independent time courses for gene expression time series data analysis
    Download  mlg.postech.ac.kr
    In this paper we apply three different independent component analysis (ICA) methods, including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene exp...
    Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi
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    JBI
    2008
    159views Bioinformatics» more  JBI 2008»
    SEGS: Search for enriched gene sets in microarray data
    13 years 8 months ago
    SEGS: Search for enriched gene sets in microarray data
    Download  www.time.mk
    Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
    Igor Trajkovski, Nada Lavrac, Jakub Tolar
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    NAR
    2000
    117views more  NAR 2000»
    The TIGR Gene Indices: reconstruction and representation of expressed gene sequences
    13 years 8 months ago
    The TIGR Gene Indices: reconstruction and representation of expressed gene sequences
    Download  compbio.dfci.harvard.edu
    Expressed sequence tags (ESTs) have provided a first glimpse of the collection of transcribed sequences in a variety of organisms. However, a careful analysis of this sequence dat...
    John Quackenbush, Feng Liang, Ingeborg Holt, Geo P...
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    BMCBI
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    13 years 3 months ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
    Download  www.biomedcentral.com
    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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    BMCBI
    2008
    259views more  BMCBI 2008»
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    13 years 8 months ago
    DISCLOSE : DISsection of CLusters Obtained by SEries of transcriptome data using functional annotations and putative transcripti
    Download  www.biomedcentral.com
    Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
    Evert-Jan Blom, Sacha A. F. T. van Hijum, Klaas J....
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