High-dimensional omics data analysis using a variable screening protocol with prior knowledge integration (SKI)

BACKGROUND: High-throughput technology could generate thousands to millions biomarker measurements in one experiment. However, results from high throughput analysis are often barely reproducible due to small sample size. Different statistical methods have been proposed to tackle this “small n and la...

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Detalles Bibliográficos
Autores principales: Liu, Cong, Jiang, Jianping, Gu, Jianlei, Yu, Zhangsheng, Wang, Tao, Lu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260139/
https://www.ncbi.nlm.nih.gov/pubmed/28155690
http://dx.doi.org/10.1186/s12918-016-0358-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260139/
https://www.ncbi.nlm.nih.gov/pubmed/28155690
http://dx.doi.org/10.1186/s12918-016-0358-0

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