Yeşim Aydın Son

E-mail

yesim@metu.edu.tr

Department

Graduate School of Informatics

ORCID

0000-0002-8118-4272

Scopus Author ID

14040249400

Web of Science Researcher ID

F-5879-2011

Revealing third-order interactions through the integration of machine learning and entropy methods in genomic studies İyigün, Cem; Aydın Son, Yeşim (2024-01-01) BackgroundNon-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 th...
An automated framework for evaluation of deep learning models for splice site predictions Zabardast, Amin; Tamer, Elif Güney; Aydın Son, Yeşim; Yılmaz, Arif (2023-12-01) 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, ar...
Health-Related Work Loss: Wellness Profiles of Information Technology Employees Kuru, Hakan; Sakmar, Elçin; Aydın Son, Yeşim; İnce, Mustafa Levent (2023-12-01) 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...
Reflections on Turkish Personal Data Protection Law and Genetic Data in Focus Group Discussions Özkan, Özlem; Şahinol, Melike; Aydınoğlu, Arsev Umur; Aydın Son, Yeşim (2022-12-01) 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 ...
HIBIT Proceedings 2022 Aydın Son, Yeşim; Karahan, Arzu; Otlu Sarıtaş, Burçak (Orta Doğu Teknik Üniversitesi Enformatik Enstitüsü; 2022-10) ABOUT HIBIT The International Symposium on Health Informatics and Bioinformatics (HIBIT), first held in 2005, aims to bring together academics, researchers, and practitioners who work in these popular and fulfilling are...
Integrative Predictive Modeling of Metastasis in Melanoma Cancer Based on MicroRNA, mRNA, and DNA Methylation Data Kutlay, Aysegul; Aydın Son, Yeşim (2021-09-01) 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...
Assessing the readiness of Turkish health information systems for integrating genetic/genomic patient data: System architecture and available terminologies, legislative, and protection of personal data. Şık, Ayhan Serkan; Aydınoğlu, Arsev Umur; Aydın Son, Yeşim (Elsevier BV, 2020-12-08) Advances in genetic/genomic research and translational studies drive the progress on molecular diagnosis, personalised treatment, and monitoring. Healthcare professionals and governments are encouraged to set administrativ...
In vitro effects of boric acid on human liver hepatoma cell line (HepG2) at the half-maximal inhibitory concentration Tombuloğlu, Ayşegül; Çöpoğlu, Hülya; Aydın Son, Yeşim; Güray, Nülüfer Tülün (2020-12-01) Boron is a prominent part of the human diet and one of the essential trace elements for humans. Dietary boron is mostly transformed into boric acid within the body and has been associated with desirable health outcomes. No...
Emerging Technologies in Health Information Systems: Genomics Driven Wellness Tracking and Management System (GO-WELL) Beyan, Timur; Aydın Son, Yeşim (2020-01-01)
Security and Privacy Concerns Regarding Genetic Data in Mobile Health Record Systems: An Empirical Study from Turkey Özkan, Özlem; Aydın Son, Yeşim; Aydınoğlu, Arsev Umur (2019-06-01) With the increasing use of genetic testing and applications of bioinformatics in healthcare, genetic and genomic data needs to be integrated into electronic health systems. We administered a descriptive survey to 174...

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