Self-organizing Trees for visualizing protein dataset

被引:0
作者
Nhat-Quang Doan [1 ]
Azzag, Hanane [1 ]
Lebbah, Mustapha [1 ]
Santini, Guillaume [1 ]
机构
[1] Univ Paris 13, LIPN UMR 7030, F-93430 Villetaneuse, France
来源
2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2013年
关键词
Clustering; visualization; self-organizing map; hierarchical trees; protein data; protein domains; DATABASE; CLASSIFICATION; SCOP;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Clustering and visualizing multi-dimensional or structured data are important tasks for data analysis, especially in bioinformatics. Self-organizing models are often used to address both of these issues. In this paper we introduce a hierarchical and topological visualization technique called Self-organizing Trees (SoT) which is able to represent data in hierarchical and topological structure. The experiment is conducted on a real-world protein data set.
引用
收藏
页数:8
相关论文
共 19 条
  • [1] Data growth and its impact on the SCOP database: new developments
    Andreeva, Antonina
    Howorth, Dave
    Chandonia, John-Marc
    Brenner, Steven E.
    Hubbard, Tim J. P.
    Chothia, Cyrus
    Murzin, Alexey G.
    [J]. NUCLEIC ACIDS RESEARCH, 2008, 36 : D419 - D425
  • [2] [Anonymous], 1997, C BOARD MATH SCI
  • [3] Auber D, 2004, MATH VIS, P105
  • [4] A hierarchical ant based clustering algorithm and its use in three real-world applications
    Azzag, Hanene
    Venturini, Gilles
    Oliver, Antoine
    Guinot, Christiane
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 179 (03) : 906 - 922
  • [5] PROTEIN DATA BANK - COMPUTER-BASED ARCHIVAL FILE FOR MACROMOLECULAR STRUCTURES
    BERNSTEIN, FC
    KOETZLE, TF
    WILLIAMS, GJB
    MEYER, EF
    BRICE, MD
    RODGERS, JR
    KENNARD, O
    SHIMANOUCHI, T
    TASUMI, M
    [J]. EUROPEAN JOURNAL OF BIOCHEMISTRY, 1977, 80 (02): : 319 - 324
  • [6] The ASTRAL compendium for protein structure and sequence analysis
    Brenner, SE
    Koehl, P
    Levitt, R
    [J]. NUCLEIC ACIDS RESEARCH, 2000, 28 (01) : 254 - 256
  • [7] YAKUSA: A fast structural database scanning method
    Carpentier, M
    Brouillet, S
    Pothier, J
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2005, 61 (01) : 137 - 151
  • [8] Kohonen T., 2001, INFORM SCIENCES
  • [9] SCOP - A STRUCTURAL CLASSIFICATION OF PROTEINS DATABASE FOR THE INVESTIGATION OF SEQUENCES AND STRUCTURES
    MURZIN, AG
    BRENNER, SE
    HUBBARD, T
    CHOTHIA, C
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 1995, 247 (04) : 536 - 540
  • [10] AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    Newman, Aaron M.
    Cooper, James B.
    [J]. BMC BIOINFORMATICS, 2010, 11