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Annotating function to differentially expressed LincRNAs in myelodysplastic syndrome using a network-based method
Author(s) -
Keqin Liu,
Dominik Beck,
Julie A.I. Thoms,
Liang Liu,
Weiling Zhao,
John E. Pimanda,
Xiaobo Zhou
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx280
Subject(s) - biology , computational biology , function (biology) , microrna , gene , long non coding rna , rna , genetics
Long non-coding RNAs (lncRNAs) have been implicated in the regulation of diverse biological functions. The number of newly identified lncRNAs has increased dramatically in recent years but their expression and function have not yet been described from most diseases. To elucidate lncRNA function in human disease, we have developed a novel network based method (NLCFA) integrating correlations between lncRNA, protein coding genes and noncoding miRNAs. We have also integrated target gene associations and protein-protein interactions and designed our model to provide information on the combined influence of mRNAs, lncRNAs and miRNAs on cellular signal transduction networks.

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