MOF: An R Function to Detect Outlier Microarray

Song Yang; Xiang Guo; Hai Hu

doi:10.1016/S1672-0229(09)60006-1

MOF: An R Function to Detect Outlier Microarray

Song Yang, Xiang Guo, Hai Hu^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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/.

Original language	English
Pages (from-to)	186-189
Number of pages	4
Journal	Genomics, Proteomics and Bioinformatics
Volume	6
Issue number	3-4
DOIs	https://doi.org/10.1016/S1672-0229(09)60006-1
State	Published - 2008
Externally published	Yes

Keywords

R function
microarray
quality assurance
statistics

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10.1016/S1672-0229(09)60006-1

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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/.",

keywords = "R function, microarray, quality assurance, statistics",

author = "Song Yang and Xiang Guo and Hai Hu",

note = "Funding Information: We thank the Microarray Core of WRI for generating the microarray data, and Drs. Richard Mural and Susan Maskery for commenting on the manuscript. 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.",

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T2 - An R Function to Detect Outlier Microarray

AU - Yang, Song

AU - Guo, Xiang

AU - Hu, Hai

N1 - Funding Information: We thank the Microarray Core of WRI for generating the microarray data, and Drs. Richard Mural and Susan Maskery for commenting on the manuscript. 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.

PY - 2008

Y1 - 2008

N2 - 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/.

AB - 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/.

KW - R function

KW - microarray

KW - quality assurance

KW - statistics

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AN - SCOPUS:62949123151

SN - 1672-0229

VL - 6

SP - 186

EP - 189

JO - Genomics, Proteomics and Bioinformatics

JF - Genomics, Proteomics and Bioinformatics

IS - 3-4

ER -

MOF: An R Function to Detect Outlier Microarray

Abstract

Keywords

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