Identifying reproducible cancer-associated highly expressed genes with important functional significances using multiple datasets

Identifying differentially expressed (DE) genes between cancer and normal tissues is of basic importance for studying cancer mechanisms. However, current methods, such as the commonly used Significance Analysis of Microarrays (SAM), are biased to genes with low expression levels. Recently, we propos...

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Detalles Bibliográficos
Autores principales: Huang, Haiyan, Li, Xiangyu, Guo, You, Zhang, Yuncong, Deng, Xusheng, Chen, Lufei, Zhang, Jiahui, Guo, Zheng, Ao, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086981/
https://www.ncbi.nlm.nih.gov/pubmed/27796338
http://dx.doi.org/10.1038/srep36227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086981/
https://www.ncbi.nlm.nih.gov/pubmed/27796338
http://dx.doi.org/10.1038/srep36227

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