We developed an R function named ＂microarray outlier filter＂ （MOF） to assist in the identification of faUed arrays. In sorting a group of similar arrays by the likelihood of failure, two statistical indices were e...We developed an R function named ＂microarray outlier filter＂ （MOF） to assist in the identification of faUed 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/.展开更多
基金This work was supported by the Clinical Breast Care Project with funds from the US Department of Defense through Henry Jackson Foundation for the Advancement of Military Medicine,Rockville,USA.
文摘We developed an R function named ＂microarray outlier filter＂ （MOF） to assist in the identification of faUed 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/.
