Literature DB >> 17024412

SOMMER: self-organising maps for education and research.

Michael Schmuker1, Florian Schwarte, André Brück, Ewgenij Proschak, Yusuf Tanrikulu, Alireza Givehchi, Kai Scheiffele, Gisbert Schneider.   

Abstract

SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.

Mesh：

Year:  2006        PMID： 17024412     DOI： 10.1007/s00894-006-0140-0

Source DB:  PubMed          Journal:  J Mol Model        ISSN： 0948-5023            Impact factor:   1.810


  21 in total

1.  Mapping of protein surface cavities and prediction of enzyme class by a self-organizing neural network.

Authors:  M Stahl; C Taroni; G Schneider
Journal:  Protein Eng       Date:  2000-02

2.  The comparative molecular surface analysis (COMSA): a novel tool for molecular design.

Authors:  J Polanski; B Walczak
Journal:  Comput Chem       Date:  2000-07

3.  New molecular surface-based 3D-QSAR method using Kohonen neural network and 3-way PLS.

Authors:  Kiyoshi Hasegawa; Shigeo Matsuoka; Masamoto Arakawa; Kimito Funatsu
Journal:  Comput Chem       Date:  2002-11

4.  Mining high-throughput screening data of combinatorial libraries: development of a filter to distinguish hits from nonhits.

Authors:  Andreas Teckentrup; Hans Briem; Johann Gasteiger
Journal:  J Chem Inf Comput Sci       Date:  2004 Mar-Apr

5.  Identification of a new motif on nucleic acid sequence data using Kohonen's self-organizing map.

Authors:  P Arrigo; F Giuliano; F Scalia; A Rapallo; G Damiani
Journal:  Comput Appl Biosci       Date:  1991-07

6.  Topological maps of protein sequences.

Authors:  E A Ferrán; P Ferrara
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

7.  Local structural motifs of protein backbones are classified by self-organizing neural networks.

Authors:  J Schuchhardt; G Schneider; J Reichelt; D Schomburg; P Wrede
Journal:  Protein Eng       Date:  1996-10

8.  Kohonen map as a visualization tool for the analysis of protein sequences: multiple alignments, domains and segments of secondary structures.

Authors:  J Hanke; J G Reich
Journal:  Comput Appl Biosci       Date:  1996-12

9.  The beauty of molecular surfaces as revealed by self-organizing neural networks.

Authors:  J Gasteiger; X Li; A Uschold
Journal:  J Mol Graph       Date:  1994-06

10.  Feature-extraction from endopeptidase cleavage sites in mitochondrial targeting peptides.

Authors:  G Schneider; S Sjöling; E Wallin; P Wrede; E Glaser; G von Heijne
Journal:  Proteins       Date:  1998-01
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  3 in total

1.  Processing and classification of chemical data inspired by insect olfaction.

Authors:  Michael Schmuker; Gisbert Schneider
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-10       Impact factor: 11.205

2.  Parallel representation of stimulus identity and intensity in a dual pathway model inspired by the olfactory system of the honeybee.

Authors:  Michael Schmuker; Nobuhiro Yamagata; Martin Paul Nawrot; Randolf Menzel
Journal:  Front Neuroeng       Date:  2011-12-28

3.  The Plasmodium export element revisited.

Authors:  Jan Alexander Hiss; Jude Marek Przyborski; Florian Schwarte; Klaus Lingelbach; Gisbert Schneider
Journal:  PLoS One       Date:  2008-02-06       Impact factor: 3.240
  3 in total

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