19329069

Source:http://linkedlifedata.com/resource/pubmed/id/19329069

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0066686, umls-concept:C0542341, umls-concept:C1425187, umls-concept:C1709016, umls-concept:C2698674
pubmed:issue	3-4
pubmed:dateCreated	2009-3-30
pubmed:abstractText	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/.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101197608
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Dec
pubmed:issn	1672-0229
pubmed:author	pubmed-author:GuoXiangX, pubmed-author:HuHaiH, pubmed-author:SongYangY
pubmed:issnType	Print
pubmed:volume	6
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	186-9
pubmed:meshHeading	pubmed-meshheading:19329069-Algorithms, pubmed-meshheading:19329069-Computational Biology, pubmed-meshheading:19329069-Internet, pubmed-meshheading:19329069-Oligonucleotide Array Sequence Analysis, pubmed-meshheading:19329069-Reproducibility of Results
pubmed:year	2008
pubmed:articleTitle	MOF: an R function to detect outlier microarray.
pubmed:affiliation	Windber Research Institute, Windber, PA 15963, USA.
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, Non-P.H.S.