Yazar "Yazici, Miray Unlu" için listeleme
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In-Silico Methods to Identify Common MicroRNAs and Pathways of Neuromuscular Diseases
Yazici, Miray Unlu; Menges, Evrim Aksu; Ulum, Yeliz Z. Akkaya; Hayta, Burcu Balci; Bakir-Gungor, Burcu (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Neuromuscular disorders (NMD) are a heterogeneous group of diseases characterized by the loss of function of the peripheral nerves and muscles. However, there are no effective and widespread therapeutic approaches to prevent ... -
Integrative analyses in omics data: Machine learning perspective
Yazici, Miray Unlu; Bakir-Gungor, Burcu; Yousef, Malik (Deutsche Gesellschaft fur Medizinische Informatik, Biometrie und Epidemiologie e.V., 2023)Developments in the high throughput technologies have enabled the production of an immense amount of knowledge at the multi-omics level. Considering complex diseases which are affected by multi-factors, single omics datasets ... -
Invention of 3Mint for feature grouping and scoring in multi-omics
Yazici, Miray Unlu; Marron, J. S.; Bakir-Gungor, Burcu; Zou, Fei; Yousef, Malik (FRONTIERS MEDIA SA, 2023)Advanced genomic and molecular profiling technologies accelerated the enlightenment of the regulatory mechanisms behind cancer development and progression, and the targeted therapies in patients. Along this line, intense ... -
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
Yazici, Miray Unlu; Yousef, Malik; Marron J.S.; Bakir-Gungor, Burcu (Institute of Electrical and Electronics Engineers Inc., 2023)High throughput -omics technologies facilitate the investigation of regulatory mechanisms of complex diseases. Along this line, scientists develop promising tools and methods to extend our understanding at the molecular ... -
A New Method to Identify Affected Pathway Subnetworks and Clusters in Colon Cancer
Goy, Gokhan; Yazici, Miray Unlu; Bakir-Gungor, Buren (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 11.09.2019)Nowadays new technological developments that play an important role in the production of big data have brought about the interpretation, sharing and storage of data related to complex diseases. Combining multi-omic data ...
