CeNet Omnibus: an R/Shiny application to the construction and analysis of competing endogenous RNA network

CeNet Omnibus: an R/Shiny application to the construction and analysis of competing endogenous RNA network

Background: The competing endogenous RNA (ceRNA) regulation is a newly discovered post-transcriptional regulation mechanism and plays significant roles in physiological and pathological progress. CeRNA networks provide global views to help understand the regulation of ceRNAs. CeRNA networks have bee...

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Bibliographic Details
Main Authors: Gao, L. (Author), Jiang, C. (Author), Song, T. (Author), Wen, X. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Biological phenomena
CeRNA
Correlation methods
gene expression regulation
Gene Expression Regulation
Gene Expression Regulation, Neoplastic
gene regulatory network
Gene Regulatory Networks
Genes
genetics
HTTP
Liquid associations
long untranslated RNA
Multiple measurements
Mutual informations
Network analysis
Pearson correlation coefficients
Post-transcriptional regulations
RNA
RNA, Long Noncoding
Shiny application
software
Software
Topological properties
Topology
User friendly interface
User interfaces
Online Access:View Fulltext in Publisher

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