Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Meta-Analysis of Alzheimer’s Disease at the Gene Expression Level
Date
2017-06-29
Author
İzgi, Hamit
Somel, Mehmet
Metadata
Show full item record
Item Usage Stats
80
views
0
downloads
Cite This
URI
http://hibit2017.ii.metu.edu.tr/wordpress/wp-content/uploads/HIBIT2017_Conference_Book.pdf
https://hdl.handle.net/11511/77504
Conference Name
10th International Symposium on HealthInformatics and Bioinformatics, (28 - 30 Haziran 2017)
Collections
Department of Biology, Conference / Seminar
Suggestions
OpenMETU
Core
Meta-analysis of prognostic factors for amputation following surgical repair of lower extremity vascular trauma
Perkins, Z. B.; Yet, Barbaros; Glasgow, S.; Cole, E.; Marsh, W.; Brohi, K.; Rasmussen, T. E.; Tai, N. R. M. (Wiley, 2015-04-01)
Background: Lower extremity vascular trauma (LEVT) is a major cause of amputation. A clear understanding of prognostic factors for amputation is important to inform surgical decision-making, patient counselling and risk stratification. The aim was to develop an understanding of prognostic factors for amputation following surgical repair of LEVT.
Meta-analysis of gene expression reversals in ageing brain
Dönertaş, Handan Melike; Somel, Mehmet; Department of Biology (2016)
Brain ageing is characterised by disruptive changes in cognitive abilities, histology, and anatomy. The underlying molecular nature of brain ageing, on the other hand, is little understood, partly due to the stochastic and heterogeneous nature of ageing process. In this study, using published microarray studies spanning 22 brain regions with 1,015 samples, gene expression changes in ageing are analysed in comparison to those in postnatal development. A previous observation that mRNA abundance of a large num...
META-ANALYSIS OF GENE EXPRESSION HETEROGENEITY IN BRAIN DEVELOPMENT AND AGING
Işıldak, Ulaş; Somel, Mehmet; Department of Biology (2022-9-1)
Aging is a complex process associated with the accumulation of stochastic genetic and epigenetic alterations, leading to functional decline and increased risk for disease and death. Although some previous studies demonstrated a tendency towards increased inter-individual heterogeneity during aging, whether it is a function of time that starts at the beginning of life is unknown. Its functional consequences and regulations have also not been systematically studied. In this study, I addressed these questions ...
Meta analysis of alzheimer’s disease at the gene expression level
İzgi, Hamit; Somel, Mehmet; Department of Biology (2017)
In this study, publicly available microarray gene expression datasets are used to investigate common gene expression changes in different postmortem brain regions in Alzheimer’s Disease (AD) patients compared to control subjects, and to find possible functional associations related to these changes. The hypothesis is that pathogenesis of the disease converges into common patterns of dysregulation/alteration or dysfunction in molecular pathways across different brain regions in AD. In total, I studied 13 dat...
Meta-Modeling of Complexity-Uncertainty-Performance Triad in Construction Projects
Dikmen Toker, İrem; Erol, Huseyin; Birgönül, Mustafa Talat (Informa UK Limited, 2020-07-01)
Although conceptualized in various ways within the project management literature, complexity is usually identified as one of the drivers of uncertainty, which may result in deviations from the expected project performance in the construction industry. Effective strategies to manage risk and complexity can only be formulated by understanding the complexity-uncertainty-performance triad in construction projects and modeling the non-linear interactions between these factors. In this study, a meta-modeling appr...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. İzgi and M. Somel, “Meta-Analysis of Alzheimer’s Disease at the Gene Expression Level,” Guzelyurt, Northern Cyprus, 2017, p. 77, Accessed: 00, 2021. [Online]. Available: http://hibit2017.ii.metu.edu.tr/wordpress/wp-content/uploads/HIBIT2017_Conference_Book.pdf.