12935_2020_1405_MOESM2_ESM.tif (3.05 MB)
Additional file 2 of Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments
figure
posted on 2020-07-22, 06:20 authored by Yeda Chen, Di Gu, Yaoan Wen, Shuxin Yang, Xiaolu Duan, Yongchang Lai, Jianan Yang, Daozhang Yuan, Aisha Khan, Wenqi Wu, Guohua ZengAdditional file 2: Figure S1. Expression of genes in the Oncomine
Funding
National Natural Science Foundation of China National Natural Science Foundation of China Collaborative Innovation Project of Guangzhou Education Bureau Guangzhou Science Technology and Innovation Commission Science and Technology Planning Project of Guangdong Province
History
Usage metrics
Categories
Keywords
genes needsurvival analysisbioinformatics analysiscell carcinoma12AGEO 2R toolSUCLGcell experimentscell cancersurvival timemodule analysiskidney cancer cells215 DEGsPCKcell experiments Abstract Backgroundflow cytometryGLDCPDHAwound healing assaycell viability assaysprognostic markerfunction enrichment analysesprotein-protein interaction networkGene Expression Omnibus1AATP769- Pexpression levelACHNinvasion assaysDifferential expressionflow cytometry analysis293 t cell lineexpression levelsRCC samplesGEPIAtranswell migrationOSRC -2 cell linesGSE 68417PPIdriver genehub geneSLChub genesTranswell migrationRCC cells
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC