Identification of crucial genes in abdominal aortic aneurysm by WGCNA
PeerJ, 2019 Background Abdominal aortic aneurysm (AAA) is the full thickness dilation of the abdominal aorta. However, few effective medical therapies are available. Thus, elucidating the molecular mechanism of AAA pathogenesis and exploring the potential molecular target of medical therapies for AAA is of vital importance.
Siliang Chen +7 more
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Infection and Drug Resistance, 2023 Peng Chen,1 Juan Chen,2 Jinghe Ye,1 Limin Yang1 1Department of Urology, General Hospital of Northern Theater Command PLA, Shenyang, People’s Republic of China; 2Department of Oncology, General Hospital of Northern Theater Command PLA, Shenyang, People’s ...
Chen P, Chen J, Ye J, Yang L
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Generalized gene co-expression analysis via subspace clustering using low-rank representation [PDF]
, 2019 BACKGROUND: Gene Co-expression Network Analysis (GCNA) helps identify gene modules with potential biological functions and has become a popular method in bioinformatics and biomedical research.
Huang, Kun, Wang, Tongxin, Zhang, Jie
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Transcriptome Analysis in Spleen Reveals Differential Regulation of Response to Newcastle Disease Virus in Two Chicken Lines. [PDF]
, 2018 Enhancing genetic resistance of chickens to Newcastle Disease Virus (NDV) provides a promising way to improve poultry health, and to alleviate poverty and food insecurity in developing countries.
Bunn, David A +8 more
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An ectomycorrhizal fungus alters sensitivity to jasmonate, salicylate, gibberellin, and ethylene in host roots. [PDF]
, 2020 The phytohormones jasmonate, gibberellin, salicylate, and ethylene regulate an interconnected reprogramming network integrating root development with plant responses against microbes.
Amirebrahimi, Mojgan +14 more
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WGCNA combined with machine learning to find potential biomarkers of liver cancer
Medicine, 2023 The incidence of hepatocellular carcinoma (HCC) has been increasing in recent years. With the development of various detection technologies, machine learning is an effective method to screen disease characteristic genes. In this study, weighted gene co-expression network analysis (WGCNA) and machine learning are combined to find potential biomarkers of
Lv, Jia-Hao +6 more
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Zhongguo shuxue zazhi, 2023 Objective To explore critical regulatory genes in the hemoglobin switch process by analyzing transcriptomic data from the GSE6236, GSE17639 and GSE35102 datasets.
Jinchao WANG, Genhao ZHANG
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FoxP2 isoforms delineate spatiotemporal transcriptional networks for vocal learning in the zebra finch. [PDF]
, 2018 Human speech is one of the few examples of vocal learning among mammals yet ~half of avian species exhibit this ability. Its neurogenetic basis is largely unknown beyond a shared requirement for FoxP2 in both humans and zebra finches.
Aamodt, Caitlin M +7 more
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Comparative Transcriptome and WGCNA RevealKey Genes Involved in Lignocellulose Degradation in Sarcomyxa Edulis [PDF]
Scientific Reports, 2022 Abstract In order to explore the molecular mechanism of Sarcomyxa edulis response to lignocelluloses degradation, the developmental transcriptomes was analyzed for six stages covering the whole developmental process, including mycelium growing to half bag (B1), mycelium in cold stimulation after full bag (B2), mycelium in primordia appearing ...
Chao Duan +5 more
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Identification of Potential Early Diagnostic Biomarkers of Sepsis
Journal of Inflammation Research, 2021 Zhenhua Li,1,2,* Bin Huang,2,* Wenfeng Yi,2,* Fei Wang,1 Shizhuang Wei,1 Huaixing Yan,1 Pan Qin,1 Donghua Zou,1 Rongguo Wei,3 Nian Chen4 1Department of Emergency Medicine, The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, 530022 ...
Li Z +9 more
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