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Performance Evaluations of Active Subnetwork Search Methods in Protein-Protein Interaction Networks
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 01.01.2019)
Protein-protein interaction networks are mathematical representations of the physical contacts between proteins in the cell. A group of interconnected proteins in a protein-protein interaction network that contains most ...
In-Silico Methods to Identify Common MicroRNAs and Pathways of Neuromuscular Diseases
(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 ...
In-silico Identification of Papillary Thyroid Carcinoma Molecular Mechanisms
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)
Representing approximately 70% to 80% of thyroid cancers, papillary thyroid cancer (PTC) is the most common type of thyroid cancers. PTC is seen in all age groups, but it is seen more frequently in women than in men. ...
Blockchain-based Fog Computing Applications in Healthcare
(IEEE, 2020)
— Son zamanlarda blokzincir teknolojisinin sağlık
alanında kullanımı artmıştır. Blokzincir teknolojisinin sağlık
alanına getirdiği birçok yenilik olmasına rağmen, halen çözülmeyi
bekleyen problemleri mevcuttur. Bu ...
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes
(IEEE, 2020)
Diyabet (Diabetes Mellitus, DM), insülin üreten
pankreas beta hücrelerindeki fonksiyon bozukluğu, insülin direnci
veya insülinin işlevselliğinin bozulması ile meydana gelen bir tür
metabolik bozukluktur. Diyabet vakalarının ...
The Identification of Discriminative Single Nucleotide Polymorphism Sets for the Classification of Behcet's Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Behcet's disease is a long-term multisystem inflammatory disorder, characterized by recurrent attacks affecting several organs. As the genotyping individuals get cheaper and easier following the developments in genomic ...
Machine Learning Analysis of Inflammatory Bowel Disease-Associated Metagenomics Dataset
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
There is an ongoing interplay between humans and our microbial communities. The microorganisms living in our gut produce energy from our food, strengthen our immune system, break down foreign products, and release metabolites ...
Identify Commonly Affected Pathways in Psychiatric Diseases
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
Genome-wide association studies (GWAS) are an extraordinary source of information when it comes to revealing the common variations of human complex diseases. Until now, the large amount of data generated from these studies ...
Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2018)
According to the World Health Organization (WHO), 31% of the world's total deaths in 2016 (17.9 million) was due to cardiovascular diseases (CVD). With the development of information technologies, it has become possible ...
