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Missing value imputation improves clustering and interpretation of gene expression microarray data

BACKGROUND: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value imputation approaches are available to the microarray users and new ones are constantly being developed, there is no gener...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Tuikkala, Johannes, Elo, Laura L, Nevalainen, Olli S, Aittokallio, Tero
Format: Artigo
Sprache:Inglês
Veröffentlicht: BioMed Central 2008
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2386492/
https://ncbi.nlm.nih.gov/pubmed/18423022
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-202
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