Pregled bibliografske jedinice broj: 341026
Linear Regression Model of DNA Sequences and its Application
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)
CROSBI ID: 341026 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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
Projekti:
037-0000000-2779 - Diskretna matematika i primjene (Svrtan, Dragutin, MZOS ) ( CroRIS)
177-0000000-0884 - Diskretni matematički modeli u kemiji (Vukičević, Damir, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Matematički odjel, Zagreb,
Prirodoslovno-matematički fakultet, Split
Profili:
Damir Vukičević
(autor)
Citiraj ovu publikaciju:
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
