Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Arzucan ÖZGÜR"'
Autor:
Musa Nuri İhtiyar, Arzucan Özgür
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Language models, especially transformer-based ones, have achieved colossal success in natural language processing. To be precise, studies like BERT for natural language understanding and works like GPT-3 for natural language generation are v
Externí odkaz:
https://doaj.org/article/c892c4aaaa8c4874b77416aca90e40b0
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/9d87dc2d25e441b1bf66dc330e597fe4
Publikováno v:
Biology Direct, Vol 16, Iss 1, Pp 1-5 (2021)
Abstract Cancer is a poligenetic disease with each cancer type having a different mutation profile. Genomic data can be utilized to detect these profiles and to diagnose and differentiate cancer types. Variant calling provide mutation information. Ge
Externí odkaz:
https://doaj.org/article/649dc74e26714e14b1aa1c3f75a1801b
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S21, Pp 1-9 (2019)
Abstract Background Use of medication can cause adverse drug reactions (ADRs), unwanted or unexpected events, which are a major safety concern. Drug labels, or prescribing information or package inserts, describe ADRs. Therefore, systematically ident
Externí odkaz:
https://doaj.org/article/321904af82b74ecdb7abb2c9f950d662
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2021)
Externí odkaz:
https://doaj.org/article/2b4f2edd96194ac09f76315adad196e0
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background As DNA sequencing technologies are improving and getting cheaper, genomic data can be utilized for diagnosis of many diseases such as cancer. Human raw genome data is huge in size for computational systems. Therefore, there is a n
Externí odkaz:
https://doaj.org/article/b35124a79a094d35b4d2f2f789530d14
Autor:
İlknur Karadeniz, Arzucan Özgür
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-12 (2019)
Abstract Background Although there is an enormous number of textual resources in the biomedical domain, currently, manually curated resources cover only a small part of the existing knowledge. The vast majority of these information is in unstructured
Externí odkaz:
https://doaj.org/article/2e4a5840aac54452bdc473ee45edc449
Publikováno v:
Journal of Biomedical Semantics, Vol 9, Iss 1, Pp 1-10 (2018)
Abstract Background Adverse drug reactions (ADRs), also called as drug adverse events (AEs), are reported in the FDA drug labels; however, it is a big challenge to properly retrieve and analyze the ADRs and their potential relationships from textual
Externí odkaz:
https://doaj.org/article/5437919d3b22449997413f9cf09a4d32
Publikováno v:
Frontiers in Neuroinformatics, Vol 10 (2016)
Identifying the relations among different regions of the brain is vital for a better understanding of how the brain functions. While a large number of studies have investigated the neuroanatomical and neurochemical connections among brain structures,
Externí odkaz:
https://doaj.org/article/f78a198649c7483294a43d9dfa3ea959
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0151885 (2016)
Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topic
Externí odkaz:
https://doaj.org/article/ccad23f3bb184146bddcfde255f9e115