Pregled bibliografske jedinice broj: 1131633
Investigation of the association between polymorphisms in the circadian CLOCK and NPAS2 genes and cancer by using methods of AI
Investigation of the association between polymorphisms in the circadian CLOCK and NPAS2 genes and cancer by using methods of AI // Ri-STEM-2021 Proceedings / Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan (ur.).
Rijeka, 2021. str. 91-94 (poster, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
CROSBI ID: 1131633 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Investigation of the association between
polymorphisms in the circadian CLOCK and
NPAS2 genes and cancer by using methods of AI
Autori
Mioč, Ana ; Fabulić, Barbara ; Musulin, Jelena ; Štifanić, Daniel ; Markova-Car, Elitza
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo
Izvornik
Ri-STEM-2021 Proceedings
/ Lorencin, Ivan ; Baressi Šegota, Sandi ; Car, Zlatan - Rijeka, 2021, 91-94
ISBN
978-953-8246-22-7
Skup
International Student Scientific Conference (Ri-STEM 2021)
Mjesto i datum
Rijeka, Hrvatska, 10.06.2021. - 11.06.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
artificial intelligence ; cancer ; circadian rhythm ; clock genes ; SNP
Sažetak
Circadian rhythm is a natural process in all living organisms that regulates the sleep–wake cycle and repeats roughly every 24 hours. On molecular level, that process is controlled by so- called clock genes. Disruption of circadian rhythms or expression of clock genes is emerging as a novel and potentially modifiable cancer risk factor. Single nucleotide polymorphism (SNP) stands for single base change in a DNA sequence, with an usual alternative of two possible nucleotides at a given position. In this study, the data from case-control studies containing available genotype frequencies of the SNPs in two clock genes (CLOCK and NPAS2) were collected. Based on that data, the association between genetic variations in clock genes and the risk of developing cancer was investigated. Furthermore, Artificial Intelligence (AI) algorithm was developed to predict the type of cancer (breast or mixed).
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti, Temeljne medicinske znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
POVEZANOST RADA
Projekti:
--uniri-biomed-18-257 - Cirkadijalni geni u planocelularnog karcinoma larinksa (Markova-Car, Elitza Petkova; Markova-Car, Elitza Petkova) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci - Odjel za biotehnologiju