Network motif

Results: 51



#Item
1Network Motifs Concepts for Pattern Frequency Frequent Pattern Search Application on Biological Data Motif Analysis and Visualisation

Network Motifs Concepts for Pattern Frequency Frequent Pattern Search Application on Biological Data Motif Analysis and Visualisation

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Source URL: www.nettab.org

Language: English - Date: 2004-10-11 17:33:54
    2Microsoft PowerPoint - 第8-4章-Network Motif.pptx

    Microsoft PowerPoint - 第8-4章-Network Motif.pptx

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    Source URL: bioinfo.ict.ac.cn

    - Date: 2014-11-28 11:09:46
      332  COMPARATIVE ANALYSIS OF TOPOLOGICAL PATTERNS IN DIFFERENT MAMMALIAN NETWORKS BJOERN GOEMANN1 ANATOLIJ P. POTAPOV1

      32 COMPARATIVE ANALYSIS OF TOPOLOGICAL PATTERNS IN DIFFERENT MAMMALIAN NETWORKS BJOERN GOEMANN1 ANATOLIJ P. POTAPOV1

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      Source URL: www.jsbi.org

      Language: English - Date: 2009-12-21 01:55:58
      4Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS  Efficient representation and P-value computation for

      Vol. 24 ECCB 2008, pages i160–i166 doi:bioinformatics/btn282 BIOINFORMATICS Efficient representation and P-value computation for

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      Source URL: pbil.univ-lyon1.fr

      Language: English - Date: 2008-10-22 02:35:22
      5SLS08_eurasip-revised.dvi

      SLS08_eurasip-revised.dvi

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      Source URL: pbil.univ-lyon1.fr

      Language: English - Date: 2008-10-22 02:35:23
      6LNBIReaction Motifs in Metabolic Networks

      LNBIReaction Motifs in Metabolic Networks

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      Source URL: pbil.univ-lyon1.fr

      Language: English - Date: 2008-10-22 02:35:22
      7Finding DNA Regulatory Motifs with Positiondependent Models HuihaiWu University of Surrey, Guildford, United Kingdom Email:   Prudence W.H. Wong, Mark X. Caddick and Chris Sibthorp

      Finding DNA Regulatory Motifs with Positiondependent Models HuihaiWu University of Surrey, Guildford, United Kingdom Email: Prudence W.H. Wong, Mark X. Caddick and Chris Sibthorp

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      Source URL: cgi.csc.liv.ac.uk

      Language: English - Date: 2013-07-03 10:32:55
      8A highly scalable algorithm for the extraction of cis-regulatory regions Alexandra M. Carvalho∗ INESC-ID Rua Alves Redol, Lisboa, Portugal

      A highly scalable algorithm for the extraction of cis-regulatory regions Alexandra M. Carvalho∗ INESC-ID Rua Alves Redol, Lisboa, Portugal

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      Source URL: pbil.univ-lyon1.fr

      Language: English - Date: 2008-10-22 02:35:21
      9Resource  Circuitry and Dynamics of Human Transcription Factor Regulatory Networks Shane Neph,1,5 Andrew B. Stergachis,1,5 Alex Reynolds,1 Richard Sandstrom,1 Elhanan Borenstein,1,2,4,*

      Resource Circuitry and Dynamics of Human Transcription Factor Regulatory Networks Shane Neph,1,5 Andrew B. Stergachis,1,5 Alex Reynolds,1 Richard Sandstrom,1 Elhanan Borenstein,1,2,4,*

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      Source URL: elbo.gs.washington.edu

      Language: English - Date: 2012-09-14 16:40:38
      10Details of our Motif Clustering Procedure 1 Bayesian Hierarchical Clustering Model The data for each discovered motif is a count matrix Ni which can have different widths and number of counts compared to other TF motifs.

      Details of our Motif Clustering Procedure 1 Bayesian Hierarchical Clustering Model The data for each discovered motif is a count matrix Ni which can have different widths and number of counts compared to other TF motifs.

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      Source URL: www-stat.wharton.upenn.edu

      Language: English - Date: 2005-07-21 15:44:40