Results 11 to 20 of about 37,320 (316)

Weighted Gene Co-expression Network Analysis Unveiled Key Genes Related to Progression and Prognosis of Cervical Cancer [PDF]

Journal of Genetic Resources, 2023
Cervical cancer is one of the most common malignancies and one of the main death causes among females all over the world. The discovery of tumor-related genes is crucial for understanding tumor biology and developing preventative and therapeutic ...
Mina Dehghani-Samani, Mojtaba Emadi Baygi   +1 more
doaj   +1 more source

Candidate Biomarkers and Molecular Mechanism Investigation for Glioblastoma Multiforme Utilizing WGCNA [PDF]

BioMed Research International, 2018
Qi Yang, Bo Wei, Daliang Kong
exaly   +2 more sources

Functional investigation and two-sample Mendelian randomization study of neuropathic pain hub genes obtained by WGCNA analysis

Frontiers in Neuroscience, 2023
Objective Neuropathic pain as a complex chronic disease that occurs after neurological injury, however the underlying mechanisms are not clarified in detail, hence therapeutic options are limited.
Jianfeng Zeng, Ch Lai, Jianwei Luo, Li Li   +3 more
semanticscholar   +1 more source

Hub Gene Mining and Co-Expression Network Construction of Low-Temperature Response in Maize of Seedling by WGCNA

Genes, 2023
Weighted gene co-expression network analysis (WGCNA) is a research method in systematic biology. It is widely used to identify gene modules related to target traits in multi-sample transcriptome data.
Tao Yu, Jianguo Zhang, Jingsheng Cao, Xuena Ma, Wenyue Li, Gengbin Yang   +5 more
semanticscholar   +1 more source

Transcriptome and co-expression network analysis uncover the key genes mediated by endogenous defense hormones in tea plant in response to the infestation of Empoasca onukii Matsuda

Beverage Plant Research, 2023
The tea green leafhopper [Empoasca (Matsumurasca) onukii Matsuda] is one of the most dominant pests in the tea production regions of China, greatly impacting tea yield and quality.
Dahe Qiao, Chun Yang, Yan Guo, Juan Chen, Zhengwu Chen   +4 more
doaj   +1 more source

Combining WGCNA and machine learning to construct basement membrane-related gene index helps to predict the prognosis and tumor microenvironment of HCC patients and verifies the carcinogenesis of key gene CTSA

Frontiers in Immunology, 2023
Hepatocellular carcinoma (HCC) is a malignant tumor with high recurrence and metastasis rates and poor prognosis. Basement membrane is a ubiquitous extracellular matrix and is a key physical factor in cancer metastasis.
Weijie Sun, Jue Wang, Zhiqiang Wang, Ming Xu, Quanjun Lin, P. Sun, Yihang Yuan   +6 more
semanticscholar   +1 more source

Characteristic volatile components and transcriptional regulation of seven major tea cultivars (Camellia sinensis) in China

Beverage Plant Research, 2023
The volatiles in the young shoots of tea cultivars are the important material basis for the formation of tea aroma, but the cultivar-specific aroma and its molecular regulation are still lacking in research. In this study, the characteristic volatiles of
Ting Gao, Shuxian Shao, Binghao Hou, Yaping Hong, Weiwei Ren, Shan Jin, Shuilian Gao, Pengjie Wang, Naixing Ye   +8 more
doaj   +1 more source

Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA

Frontiers in Immunology, 2023
Background Recurrent pregnancy loss defined as the occurrence of two or more pregnancy losses before 20-24 weeks of gestation, is a prevalent and significant pathological condition that impacts human reproductive health. However, the underlying mechanism
Changqiang Wei, Yiyun Wei, Jinlian Cheng, X. Tan, Zhuolin Zhou, Shanshan Lin, Lihong Pang   +6 more
semanticscholar   +1 more source

Prenatal exposure to endocrine disrupting chemicals is associated with altered DNA methylation in cord blood

Epigenetics, 2022
Prenatal exposure to endocrine disrupting chemicals can interfere with development, and has been associated with social-cognitive functioning and adverse health outcomes later in life.
Katharina Mattonet, Nikola Nowack-Weyers, Vanessa Vogel, Dirk Moser, Sascha Tierling, Monika Kasper-Sonnenberg, Michael Wilhelm, Michael Scherer, Jörn Walter, Jan G. Hengstler, Axel Schölmerich, Robert Kumsta   +11 more
doaj   +1 more source

WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean

BMC Genomics, 2023
Background Soybean is one of the most important oil crops in the world. The domestication of wild soybean has resulted in significant changes in the seed oil content and seed size of cultivated soybeans.
Yanjie Yao, Erhui Xiong, Xuelian Qu, Junfeng Li, Hongli Liu, Leipo Quan, Wenyan Lu, Xuling Zhu, Meiling Chen, Ke Li, Xiaoming Chen, Yun Lian, Weiguo Lu, Dan Zhang, Xinan Zhou, Shanshan Chu, Yongqing Jiao   +16 more
semanticscholar   +1 more source