MOF: an R function to detect outlier microarray.
10.1016/S1672-0229(09)60006-1
- Author:
Song YANG
1
;
Xiang GUO
;
Hai HU
Author Information
1. Windber Research Institute, Windber, PA 15963, USA.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Computational Biology;
methods;
Internet;
Oligonucleotide Array Sequence Analysis;
methods;
statistics & numerical data;
Reproducibility of Results
- From:
Genomics, Proteomics & Bioinformatics
2008;6(3-4):186-189
- CountryChina
- Language:English
-
Abstract:
We developed an R function named "microarray outlier filter" (MOF) to assist in the identification of failed arrays. In sorting a group of similar arrays by the likelihood of failure, two statistical indices were employed: the correlation coefficient and the percentage of outlier spots. MOF can be used to monitor the quality of microarray data for both trouble shooting, and to eliminate bad datasets from downstream analysis. The function is freely avaliable at http://www.wriwindber.org/applications/mof/.
