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Linear Regression Model of DNA Sequences and its Application


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 (međunarodna recenzija, članak, znanstveni)


Naslov
Linear Regression Model of DNA Sequences and its Application

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

Izvornik
Journal of computational chemistry (0192-8651) 28 (2007), 8; 1434-1445

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Kemija, Biologija



POVEZANOST RADA


Projekt / tema
037-0000000-2779 - Diskretna matematika i primjene (Dragutin Svrtan, )
177-0000000-0884 - Diskretni matematički modeli u kemiji (Damir Vukičević, )

Ustanove
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Prirodoslovno-matematički fakultet, Split

Autor s matičnim brojem:
Damir Vukičević, (256631)

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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