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Linear Regression Model of DNA Sequences and its Application (CROSBI ID 140103)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Dai, Qi ; Liu, Xiao-Qing ; Wan, Tian-Ming ; Vukičević, Damir Linear Regression Model of DNA Sequences and its Application // Journal of computational chemistry, 28 (2007), 8; 1434-1445. doi: 10.1002/jcc.20556

Podaci o odgovornosti

Dai, Qi ; Liu, Xiao-Qing ; Wan, Tian-Ming ; Vukičević, Damir

engleski

Linear Regression Model of DNA Sequences and its Application

We constructed six new models to analyze the DNA sequences. First, we regarded a DNA primary sequenceas a random process in t and gave three ways to define nucleotides' random distribution functions. We extracted some parameters from the linear model and analyzed the changes of the nucleotides' distributions. In order to facilitate the comparison of DNA sequences, we proposed two ways to measure their similarities. Finally, we compared the six models by analyzing the similarities of the DNA primary sequences presented in Table 1 and selected the optimal one.

linear regression model; DNA sequence

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Podaci o izdanju

28 (8)

2007.

1434-1445

objavljeno

0192-8651

10.1002/jcc.20556

Povezanost rada

Kemija, Matematika, Biologija

Poveznice
Indeksiranost