Prognostic value of gastric cancer‐associated gene signatures: Evidence based on a meta‐analysis using integrated bioinformatics methods

Selecting differentially expressed genes (DEGs) based on integrated bioinformatics analyses has been used in previous studies to explore potential biomarkers in gastric cancer (GC) with microarray and RNA sequencing data. However, the genes obtained may be inaccurate because of noisy data and errors...

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Detalles Bibliográficos
Autores principales: Wang, Jun, Gao, Peng, Song, Yongxi, Sun, Jingxu, Chen, Xiaowan, Yu, Hong, Wang, Yu, Wang, Zhenning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Short Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201382/
https://www.ncbi.nlm.nih.gov/pubmed/30133128
http://dx.doi.org/10.1111/jcmm.13823

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201382/
https://www.ncbi.nlm.nih.gov/pubmed/30133128
http://dx.doi.org/10.1111/jcmm.13823

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