[HTML][HTML] LncRNAs related key pathways and genes in ischemic stroke by weighted gene co-expression network analysis (WGCNA)
M Wang, L Wang, L Pu, K Li, T Feng, P Zheng, S Li… - Genomics, 2020 - Elsevier
… might be beneficial to predict its presumed biological function of IS. … function, followed by
the module partition analysis to identify gene co-expression modules, which could group genes …
the module partition analysis to identify gene co-expression modules, which could group genes …
Identification of potential key mRNAs and LncRNAs for psoriasis by bioinformatic analysis using weighted gene co-expression network analysis
H Li, C Yang, J Zhang, W Zhong, L Zhu… - Molecular Genetics and …, 2020 - Springer
… Weighted gene co-expression network analysis (WGCNA) was performed on the basis of the
… In this study, only the LncRNA-AL162231.4 and CCL27 in the predicted genes were verified…
… In this study, only the LncRNA-AL162231.4 and CCL27 in the predicted genes were verified…
Identification of Lymph Node Metastasis–Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis
C Luo, B Huang, Y Wu, Y Xu, W Ou, J Chen… - Frontiers in molecular …, 2021 - frontiersin.org
… Then, Pearson’s correlations of DEGs were calculated to evaluate the similarity of gene
expression patterns to build an adjacency matrix. After the gene co-expression network was …
expression patterns to build an adjacency matrix. After the gene co-expression network was …
Seven key hub genes identified by gene co-expression network in cutaneous squamous cell carcinoma
H Chen, J Yang, W Wu - BMC cancer, 2021 - Springer
… We tested whether the expression of hub genes could predict patient survival outcomes in …
Weighted gene co-expression network analysis We constructed gene co-expression networks …
Weighted gene co-expression network analysis We constructed gene co-expression networks …
Identification of key genes involved in the development and progression of early‑onset colorectal cancer by co‑expression network analysis
X Mo, Z Su, B Yang, Z Zeng, S Lei… - Oncology …, 2020 - spandidos-publications.com
… to generate the gene co-expression network for the selected genes in the … predicted PPIs
(25). In the present study, STRING was used to analyze the PPIs among the module hub genes …
(25). In the present study, STRING was used to analyze the PPIs among the module hub genes …
Identification and functional prediction of long non-coding RNAs in dilated cardiomyopathy by bioinformatics analysis
YX Chen, J Ding, WE Zhou, X Zhang, XT Sun… - … in Genetics, 2021 - frontiersin.org
… gene co-expression network analysis (WGCNA), we constructed gene modules associated
with DCM and identified hub lncRNAs, which were subjected to bioinformatics analysis to …
with DCM and identified hub lncRNAs, which were subjected to bioinformatics analysis to …
Gene co-expression network analysis in human spinal cord highlights mechanisms underlying amyotrophic lateral sclerosis susceptibility
JC Wang, G Ramaswami, DH Geschwind - Scientific reports, 2021 - nature.com
… , we built gene co-expression networks using RNA-sequencing … Finally, we compared these
predictions with human ALS and … We used the full baseline model of 53 functional categories …
predictions with human ALS and … We used the full baseline model of 53 functional categories …
Luminal a breast cancer co-expression network: Structural and functional alterations
D García-Cortés, E Hernández-Lemus… - … in genetics, 2021 - frontiersin.org
… To evaluate the role of CTCF in the appearance of cis- clusters of genes in the Luminal A
breast cancer gene co-expression network, we calculated the number of CTCF binding sites at …
breast cancer gene co-expression network, we calculated the number of CTCF binding sites at …
Identification of hub lncRNAs in head and neck cancer based on weighted gene co‐expression network analysis and experiments
S Lina - FEBS open bio, 2021 - Wiley Online Library
… to patient prognosis, and weighted gene co-expression network analysis (WGCNA) was …
classification of the risk score, and we analyzed the classification efficiency of OS prediction …
classification of the risk score, and we analyzed the classification efficiency of OS prediction …
Developing a lncRNA signature to predict the radiotherapy response of lower-grade gliomas using co-expression and ceRNA network analysis
Z Li, S Cai, H Li, J Gu, Y Tian, J Cao, D Yu… - Frontiers in …, 2021 - frontiersin.org
… and bioinformatics, the gene co-expression network that is … analysis was performed for
hub genes in the co-expression network, and the high-efficiency biomarkers that could predict …
hub genes in the co-expression network, and the high-efficiency biomarkers that could predict …