Zobrazeno 1 - 10
of 10
pro vyhledávání: '"YEŞİM AYDIN SON"'
Autor:
Ayşegül Kutlay, Yeşim Aydin Son
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Introduction: Despite the significant progress in understanding cancer biology, the deduction of metastasis is still a challenge in the clinic. Transcriptional regulation is one of the critical mechanisms underlying cancer development. Even though mR
Externí odkaz:
https://doaj.org/article/22fdda558941451eac97ed62c781ee78
Publikováno v:
NanoEthics. 16:297-312
Since the 1970s and more rigorously since the 1990s, many countries have regulated data protection and privacy laws in order to ensure the safety and privacy of personal data. First, a comparison is made of different acts regarding genetic informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abebae54bd2eb199a8142eaa375b6607
https://doi.org/10.1007/s11569-022-00431-0
https://doi.org/10.1007/s11569-022-00431-0
Autor:
Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing
Externí odkaz:
https://doaj.org/article/60405c4434f3445781f9660de29169a1
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract Background Non-linear relationships at the genotype level are essential in understanding the genetic interactions of complex disease traits. Genome-wide association Studies (GWAS) have revealed statistical association of the SNPs in many com
Externí odkaz:
https://doaj.org/article/98318ef694c74f83995a627820268998
Publikováno v:
Pamukkale Spor Bilimleri Dergisi, Vol 14, Iss 3, Pp 258-278 (2023)
Understanding health-related work loss and creating a comprehensive approach requires the identification of lifestyle behavior patterns. An essential part of this process is the examination of different profiles within the target population to develo
Externí odkaz:
https://doaj.org/article/0b42067371a541278b0ec32c9246c6f5
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract A novel framework for the automated evaluation of various deep learning-based splice site detectors is presented. The framework eliminates time-consuming development and experimenting activities for different codebases, architectures, and co
Externí odkaz:
https://doaj.org/article/a9b4457cf372447bba8bd0da0c837bc3
Autor:
Onur, Erdoğan, Yeşim, Aydin Son
Publikováno v:
Studies in health technology and informatics. 205
Single Nucleotide Polymorphisms (SNPs) are the most common genomic variations where only a single nucleotide differs between individuals. Individual SNPs and SNP profiles associated with diseases can be utilized as biological markers. But there is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::659885456d5e6b6e419f57874bca477d
https://pubmed.ncbi.nlm.nih.gov/25160237
https://pubmed.ncbi.nlm.nih.gov/25160237
Autor:
YEŞİM AYDIN SON
Publikováno v:
PLoS ONE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8ba4ed2fa485b9dfbd91c7e5992c16f
https://doi.org/10.1371/journal.pone.0114956
https://doi.org/10.1371/journal.pone.0114956
Autor:
Ustünkar, G., YEŞİM AYDIN SON
Publikováno v:
Scopus-Elsevier
Recently, there has been increasing research to discover genomic biomarkers, haplotypes, and potentially other variables that together contribute to the development of diseases. Single Nucleotide Polymorphisms (SNPs) are the most common form of genom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9476e7101e7744b571b98f6c30a4f30e
http://www.scopus.com/inward/record.url?eid=2-s2.0-84857075009&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84857075009&partnerID=MN8TOARS
Autor:
Sait Can Yücebaş, Yeşim Aydın Son
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e91404 (2014)
Through Genome Wide Association Studies (GWAS) many Single Nucleotide Polymorphism (SNP)-complex disease relations can be investigated. The output of GWAS can be high in amount and high dimensional, also relations between SNPs, phenotypes and disease
Externí odkaz:
https://doaj.org/article/863fae5ac16c43e98623dc65c7b3ffe7