Simple BL-SOM specifications


Unique identifier OMICS_25206
Name Simple Batch-Learning Self-Organizing Map
Alternative name SOM
Software type Application/Script
Interface Command line interface, Graphical user interface
Restrictions to use None
Output data Four files: “WTSPCA” that contains initial weight vectors generated by PCA, “WTSSOM” that contains the final weight vectors generated by the learning process of SOM, “CLSOM” that accumulates information on classification of objects in the self-organizing map, and “Convergence”.
Output format TXT
Operating system Unix/Linux
Computer skills Medium
Stability Stable
Requirements Java j2sdk
Maintained Yes



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  • person_outline Kazuki Saito <>

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Simple BL-SOM institution(s)
Department of Molecular Biology and Biotechnology, Graduate School of Pharmaceutical Sciences, Chiba University, Chiba, Japan; Core Research for Evolutional Science and Technology, Japan Science and Technology Agency, Saitama, Japan; RIKEN Plant Science Center, Kanagawa, Japan; Institute for Botany, University of Hannover, Hannover, Germany; Phenomenome Discoveries Inc., Saskatoon, SK, Canada; Department of Bioinformatics and Genomics, Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan; Ehime Women’s College, Ehime, Japan; Kazusa DNA Research Institute, Chiba, Japan; Max-Planck-Institute for Chemical Ecology, Jena, Germany
Simple BL-SOM funding source(s)
Supported in part by Core Research for Evolutional Science and Technology of Japan Science and Technology Agency, by grants-in-aid from the Ministry of Education, Science, Culture, Sports, and Technology, Japan, and by the project “Development of Fundamental Technologies for Controlling the Process of Material Production of Plants” from New Energy and Industrial Technology Development Organization.

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