Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ege Ulgen"'
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Pathway analysis is often the first choice for studying the mechanisms underlying a phenotype. However, conventional methods for pathway analysis do not take into account complex protein-protein interaction information, resulting in incomplete conclu
Externí odkaz:
https://doaj.org/article/9127db7e47b44bca99489c969002cb58
Autor:
Ege Ülgen, Umut Gerlevik, Sıla Gerlevik, Yavuz Oktay, Osman Uğur Sezerman, Şevin Turcan, Koray Ozduman
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract MYC dysregulation is pivotal in the onset and progression of IDH-mutant gliomas, mostly driven by copy-number alterations, regulatory element alterations, or epigenetic changes. Our pilot analysis uncovered instances of relative MYC overexpr
Externí odkaz:
https://doaj.org/article/15cc31a1daa84ffaa6fca6f853a98817
Publikováno v:
Genomicsinformatics. 20(2)
Recent studies have focused on the early detection of ovarian cancer (OC) using tumor materials by liquid biopsy. The mechanisms of microRNAs (miRNAs) to impact OC and signaling pathways are still unknown. This study aims to reliably perform function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd596af3523313855821c5e839280a3d
https://pubmed.ncbi.nlm.nih.gov/35794700
https://pubmed.ncbi.nlm.nih.gov/35794700
Autor:
Ege Ülgen, O. Uğur Sezerman
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-17 (2021)
Abstract Background Cancer develops due to “driver” alterations. Numerous approaches exist for predicting cancer drivers from cohort-scale genomics data. However, methods for personalized analysis of driver genes are underdeveloped. In this study
Externí odkaz:
https://doaj.org/article/c67ed18962014c568dbc1348bd00006c
Autor:
Ege Ülgen, Özge Can, Kaya Bilguvar, Cemaliye Akyerli Boylu, Şirin Kılıçturgay Yüksel, Ayça Erşen Danyeli, O. Uğur Sezerman, M. Cengiz Yakıcıer, M. Necmettin Pamir, Koray Özduman
Publikováno v:
BMC Medical Genomics, Vol 14, Iss 1, Pp 1-14 (2021)
Abstract Background In the clinical setting, workflows for analyzing individual genomics data should be both comprehensive and convenient for clinical interpretation. In an effort for comprehensiveness and practicality, we attempted to create a clini
Externí odkaz:
https://doaj.org/article/8d68f504ee3442278efa6a1282e8f27e
Autor:
Elif Everest, Ege Ülgen, Ugur Uygunoglu, Melih Tutuncu, Sabahattin Saip, Osman Uğur Sezerman, Aksel Siva, Eda Tahir Turanli
Publikováno v:
PeerJ, Vol 9, p e11922 (2021)
Background Multiple sclerosis (MS) has a complex pathophysiology, variable clinical presentation, and unpredictable prognosis; understanding the underlying mechanisms requires combinatorial approaches that warrant the integration of diverse molecular
Externí odkaz:
https://doaj.org/article/151111710d004c07aa040f8d19fb9938
Publikováno v:
PeerJ Computer Science, Vol 7, p e336 (2021)
Most of the traditional gene selection approaches are borrowed from other fields such as statistics and computer science, However, they do not prioritize biologically relevant genes since the ultimate goal is to determine features that optimize model
Externí odkaz:
https://doaj.org/article/6a9539073a464c23bb484409ff940634
Autor:
Ege Ülgen, Sıla Karacan, Umut Gerlevik, Özge Can, Kaya Bilguvar, Yavuz Oktay, Cemaliye B. Akyerli, Şirin K. Yüksel, Ayça E. Danyeli, Tarık Tihan, O. Uğur Sezerman, M. Cengiz Yakıcıer, M. Necmettin Pamir, Koray Özduman
Publikováno v:
Biomedicines, Vol 8, Iss 12, p 574 (2020)
Little is known about the mutational processes that shape the genetic landscape of gliomas. Numerous mutational processes leave marks on the genome in the form of mutations, copy number alterations, rearrangements or their combinations. To explore gl
Externí odkaz:
https://doaj.org/article/7243f9e585904f9493bea5e128696565