Presentation	2014-01-21 Visualization and Discrimination of DNA sequences using Self-Organizing Maps Yutaro Kaneko, Hirosi Dozono,
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Abstract(in English)	Recently, the next generation sequencers produce the large amount of sequence information of DNA. Thus, it becomes problem to extract the relevant information from whole information. In this study, it is intended to efficiently extract a variety of information hidden in DNA sequence using Self Organizing Maps, which can visualize the multi-dimensional data on the two dimensional plane. The experiments of classification for the DNA sequence of some species and some metabolic functions are conducted, and propose the method examine its performance.
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Keyword(in English)	Self Organizing Map(SOM) / next generation sequencing
Paper #	NC2013-79
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Committee	NC
Conference Date	2014/1/13(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Visualization and Discrimination of DNA sequences using Self-Organizing Maps
Sub Title (in English)
Keyword(1)	Self Organizing Map(SOM)
Keyword(2)	next generation sequencing
1st Author's Name	Yutaro Kaneko
1st Author's Affiliation	Graduate School of Science and Engineering, Saga University()
2nd Author's Name	Hirosi Dozono
2nd Author's Affiliation	Graduate School of Science and Engineering, Saga University
Date	2014-01-21
Paper #	NC2013-79
Volume (vol)	vol.113
Number (no)	382
Page	pp.pp.-
#Pages	5
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