Missing value imputation for microarray gene expression data using histone acetylation information

BACKGROUND: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile analysis in bioinformatics. Although several methods have been suggested, their performances are not satisfactory for dat...

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Detalles Bibliográficos
Autores principales: Xiang, Qian, Dai, Xianhua, Deng, Yangyang, He, Caisheng, Wang, Jiang, Feng, Jihua, Dai, Zhiming
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2432074/
https://www.ncbi.nlm.nih.gov/pubmed/18510747
http://dx.doi.org/10.1186/1471-2105-9-252

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2432074/
https://www.ncbi.nlm.nih.gov/pubmed/18510747
http://dx.doi.org/10.1186/1471-2105-9-252

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