Adaptively capturing the heterogeneity of expression for cancer biomarker identification

BACKGROUND: Identifying cancer biomarkers from transcriptomics data is of importance to cancer research. However, transcriptomics data are often complex and heterogeneous, which complicates the identification of cancer biomarkers in practice. Currently, the heterogeneity still remains a challenge fo...

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Detalles Bibliográficos
Autores principales: Xie, Xin-Ping, Xie, Yu-Feng, Liu, Yi-Tong, Wang, Hong-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215657/
https://www.ncbi.nlm.nih.gov/pubmed/30390627
http://dx.doi.org/10.1186/s12859-018-2437-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215657/
https://www.ncbi.nlm.nih.gov/pubmed/30390627
http://dx.doi.org/10.1186/s12859-018-2437-2

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