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Pregled bibliografske jedinice broj: 341026

Časopis

Autori: Dai, Qi; Liu, Xiao-Qing; Wan, Tian-Ming; Vukičević, Damir
Naslov: Linear Regression Model of DNA Sequences and its Application
( Linear Regression Model of DNA Sequences and its Application )
Izvornik: Journal of computational chemistry (0192-8651) 28 (2007), 8; 1434-1445
Vrsta rada: članak
Ključne riječi: linear regression model; DNA sequence
( linear regression model; DNA sequence )
Sažetak:
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.
Projekt / tema: 177-0000000-0884, 037-0000000-2779
Izvorni jezik: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
MEDLINE
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Matematika,Kemija,Biologija
Broj citata:
Altmetric:
DOI: 10.1002/jcc.20556
URL cjelovitog teksta:
Google Scholar: Linear Regression Model of DNA Sequences and its Application
Upisao u CROSBI: vukicevi@pmfst.hr (vukicevi@pmfst.hr), 6. Svi. 2008. u 21:49 sati



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