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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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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4028886/ https://ncbi.nlm.nih.gov/pubmed/24565159 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-7-S6-S11 |
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