Microbiome of Field Grown Hemp Reveals Potential Microbial Interactions With Root and Rhizosphere Soil
Abstract Hemp (Cannabis sativa L.) is a crop bred and grown for the production of fiber, grain, and floral extracts…
weighted gene co-expression network analysis
The molecular feature of macrophages in tumor immune microenvironment of glioma patients
Keywords: CDF, cumulative distribution function, CGGA, Chinese Glioma Genome Atlas, CNA, copy number alternations, CNV, copy number variation, CSF-1, colony-stimulating…
Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma
Abstract Background: Cutaneous squamous cell carcinoma (cSCC) often follows actinic keratosis (AK) and is the second most common skin cancer…
The intertwining of world news with Sustainable Development Goals: An effective monitoring tool
Abstract This study aims to bring about a novel approach to the analysis of Sustainable Development Goals (SDGs) based solely…
CD8+ T Cell Co-Expressed Genes Correlate With Clinical Phenotype and Microenvironments of Urothelial Cancer
Abstract Purpose: To identify immune-related co-expressed genes that promote CD8+ T cell infiltration in bladder cancer, and to explore the…
Identifying M1 Macrophage-Related Genes Through a Co-expression Network to Construct a Four-Gene Risk-Scoring Model for Predicting Thyroid Cancer Prognosis
Abstract Macrophages are key innate immune cells in the tumor microenvironment that regulate primary tumor growth, vascularization, metastatic spread and…
Identification of hub genes in papillary thyroid carcinoma: robust rank aggregation and weighted gene co-expression network analysis
Abstract Background: Papillary thyroid carcinoma (PTC), which is the most common endocrine malignancy, has been steadily increasing worldwide in incidence…
Network analysis of aging acceleration reveals systematic properties of 11 types of cancers
Abstract Cancers are known to be associated with accelerated aging, but to date, there has been a paucity of systematic…
Identification of cancer prognosis-associated functional modules using differential co-expression networks
Abstract The rapid accumulation of cancer-related data owing to high-throughput technologies has provided unprecedented choices to understand the progression of…