Multi-view based integrative analysis of gene expression data for identifying biomarkers

The widespread applications in microarray technology have produced the vast quantity of publicly available gene expression datasets. However, analysis of gene expression data using biostatistics and machine learning approaches is a challenging task due to (1) high noise; (2) small sample size with h...

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Detalles Bibliográficos
Autores principales: Yang, Zi-Yi, Liu, Xiao-Ying, Shu, Jun, Zhang, Hui, Ren, Yan-Qiong, Xu, Zong-Ben, Liang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751173/
https://www.ncbi.nlm.nih.gov/pubmed/31534156
http://dx.doi.org/10.1038/s41598-019-49967-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751173/
https://www.ncbi.nlm.nih.gov/pubmed/31534156
http://dx.doi.org/10.1038/s41598-019-49967-4

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