Shrinkage regression-based methods for microarray missing value imputation

BACKGROUND: Missing values commonly occur in the microarray data, which usually contain more than 5% missing values with up to 90% of genes affected. Inaccurate missing value estimation results in reducing the power of downstream microarray data analyses. Many types of methods have been developed to...

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Detalles Bibliográficos
Autores principales: Wang, Hsiuying, Chiu, Chia-Chun, Wu, Yi-Ching, Wu, Wei-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028886/
https://www.ncbi.nlm.nih.gov/pubmed/24565159
http://dx.doi.org/10.1186/1752-0509-7-S6-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028886/
https://www.ncbi.nlm.nih.gov/pubmed/24565159
http://dx.doi.org/10.1186/1752-0509-7-S6-S11

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