Open AccessIdentification of differentially expressed metastatic genes and their signatures to predict the overall survival of uveal melanoma patients by bioinformatics analysis
Author(s) -
Dandan Zhao,
Xin Zhao,
Wentao Li
Publication year - 2020
Publication title -
international journal of ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 29
eISSN - 2227-4898
pISSN - 2222-3959
DOI - 10.18240/ijo.2020.07.05
Subject(s) - kegg , gene , microrna , computational biology , bioinformatics , biology , gene expression profiling , gene expression , genetics , transcriptome
To identify metastatic genes and miRNAs and to investigate the metastatic mechanism of uveal melanoma (UVM).
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