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LSimpute: accurate estimation of missing values in microarray data with least squares methods
Microarray experiments generate data sets with information on the expression levels of thousands of genes in a set of biological samples. Unfortun ately, such experiments often produce multiple missing expression values, normally due to various experimental problems. As many algorithms for gene expr...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2004
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC374359/ https://ncbi.nlm.nih.gov/pubmed/14978222 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gnh026 |
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