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Classification analysis of dual nucleotides using dimension reduction.


ABSTRACT: We introduce a new approach to investigate the dual nucleotides compositions of 11 Gram-positive and 12 Gram-negative eubacteria recently studied by Sorimachi and Okayasu. The approach firstly obtains a 16-dimension vector set of dual nucleotides by PN-curve from the complete genome of organism. Each vector of the set corresponds to a single gene of genome. Then we reduce the 16-dimension vector set to 2-dimension by principal components analysis (PCA). The reduction avoids possible loss of information averaging all 16-dimension vectors. Then we suggest a 2D graphical representation based on the 2-dimension vector to investigate the classification patters among different organisms.

SUBMITTER: Qi ZH 

PROVIDER: S-EPMC7126582 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature

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Classification analysis of dual nucleotides using dimension reduction.

Qi Zhao-Hui ZH   Wang Jian-Min JM   Qi Xiao-Qin XQ  

Journal of theoretical biology 20090527 1


We introduce a new approach to investigate the dual nucleotides compositions of 11 Gram-positive and 12 Gram-negative eubacteria recently studied by Sorimachi and Okayasu. The approach firstly obtains a 16-dimension vector set of dual nucleotides by PN-curve from the complete genome of organism. Each vector of the set corresponds to a single gene of genome. Then we reduce the 16-dimension vector set to 2-dimension by principal components analysis (PCA). The reduction avoids possible loss of info  ...[more]

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