نتایج جستجو برای: weighted gene co expression network analysis
تعداد نتایج: 4838665 فیلتر نتایج به سال:
background: the aim of this study was to survey the iranian parasitology researchers’ performance, and analyse and visualize the scientific outputs of their co-authorship network. methods: this study was conducted using scientometric method and social network analysis (sna). the data extracted from the web of science (wos) databases in july 10th 2014. totally, 1048documents of all types in rese...
Identification of genes involved in salinity stress tolerance provides deeper insight into molecular mechanisms underlying salinity tolerance in maize. The present study was conducted in the faculty of agriculture of Urmia university, Iran, in 2018, with the aim of identifying genetic differences between two maize genotypes in tolerance to salinity stress, and the results of gene expression wer...
Chronic spontaneous urticaria (CSU), a mast cell-driven disease, substantially affects the quality of life. While genetics affect CSU susceptibility and severity, specific genetic factors associated with cell activation in remain elusive. We aimed to identify key investigate their roles pathogenesis. Two gene expression datasets from Gene Expression Omnibus were merged validated using principal...
Weighted Gene Co-expression Network Analysis of the Dioscin Rich Medicinal Plant Dioscorea nipponica
Dioscorea contains critically important species which can be used as staple foods or sources of bioactive substances, including Dioscorea nipponica, which has been used to develop highly successful drugs to treat cardiovascular disease. Its major active ingredients are thought to be sterol compounds such as diosgenin, which has been called "medicinal gold" because of its valuable properties. Ho...
Although correlation network studies from co-expression analysis are increasingly popular, they are rarely applied to proteomics datasets. Protein co-expression analysis provides a complementary view of underlying trends, which can be overlooked by conventional data analysis. The core of the present study is based on Weighted Gene Co-expression Network Analysis applied to a glioblastoma multifo...
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