日本語フィールド
著者：Hiroshi Dozono, Gen Niina題名：Visualization of the Sets of DNA Sequences using
Visualization of the Sets of DNA Sequences using Self Organizing Maps based on Correlation
Coefficients発表情報：2013 IEEE International Conference on Bioinformatics and Biomedicine ページ: 27-29キーワード：概要：抄録：Recently, Next Generation Sequencing(NGS) tech-
niques produces huge amount of sequence data day by day. To
analyze the sequence data, the efficient method which can handle
large amount of data is required. Self Organizing Map (SOM),
which uses the frequencies of N-tuples, can categorize the set of
DNA sequences with unsupervised learning. In this paper, SOM
which uses the correlation coefficient among the nucleotides is
proposed, and the performance is examined in the experiments
of mapping the genome sequences of several species.英語フィールド
Author：Hiroshi Dozono, Gen NiinaTitle：Visualization of the Sets of DNA Sequences using
Visualization of the Sets of DNA Sequences using Self Organizing Maps based on Correlation
CoefficientsAnnouncement information:2013 IEEE International Conference on Bioinformatics and Biomedicine Page: 27-29An abstract：Recently, Next Generation Sequencing(NGS) tech-
niques produces huge amount of sequence data day by day. To
analyze the sequence data, the efficient method which can handle
large amount of data is required. Self Organizing Map (SOM),
which uses the frequencies of N-tuples, can categorize the set of
DNA sequences with unsupervised learning. In this paper, SOM
which uses the correlation coefficient among the nucleotides is
proposed, and the performance is examined in the experiments
of mapping the genome sequences of several species.