Detecting Outlier Microarray Arrays by Correlation and Percentage of Outliers Spots

We developed a quality assurance (QA) tool, namely microarray outlier filter (MOF), and have applied it to our microarray datasets for the identification of problematic arrays. Our approach is based on the comparison of the arrays using the correlation coefficient and the number of outlier spots gen...

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Detalles Bibliográficos
Autores principales: Yang, Song, Guo, Xiang, Yang, Yaw-Ching, Papcunik, Denise, Heckman, Caroline, Hooke, Jeffrey, Shriver, Craig D., Liebman, Michael N., Hu, Hai
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675485/
https://www.ncbi.nlm.nih.gov/pubmed/19458777

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675485/
https://www.ncbi.nlm.nih.gov/pubmed/19458777

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