Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis
نویسندگان
چکیده
منابع مشابه
protein-protein interaction network analysis of cirrhosis liver disease
aim : evaluation of biological characteristics of 13 identified proteins of patients with cirrhotic liver disease is the main aim of this research. background : in clinical usage, liver biopsy remains the gold standard for diagnosis of hepatic fibrosis. evaluation and confirmation of liver fibrosis stages and severity of chronic diseases require a precise and noninvasive biomarkers. since the...
متن کاملDiscovering disease-associated genes in weighted protein–protein interaction networks
Although there have been many network-based attempts to discover disease-associated genes, most of them have not taken edge weight – which quantifies their relative strength – into consideration. We use connection weights in a protein–protein interaction (PPI) network to locate disease-related genes. We analyze the topological properties of both weighted and unweighted PPI networks and design a...
متن کاملUsing the Protein-protein Interaction Network to Identifying the Biomarkers in Evolution of the Oocyte
Background Oocyte maturity includes nuclear and cytoplasmic maturity, both of which are important for embryo fertilization. The development of oocyte is not limited to the period of follicular growth, and starts from the embryonic period and continues throughout life. In this study, for the purpose of evaluating the effect of the FSH hormone on the expression of genes, GEO access codes for this...
متن کاملPrediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks
Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...
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ژورنال
عنوان ژورنال: BMC Genomics
سال: 2018
ISSN: 1471-2164
DOI: 10.1186/s12864-018-4804-9