Frozen robust multiarray analysis (fRMA).
By Matthew N. McCall, Benjamin M. Bolstad, Rafael A. Irizarry. Biostatistics, 2010
571 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/cca962344028af18dcf9ffcc26fd76d2d917bc3d
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In Management Science and Operations Research
- Justin Guinney
- Timothy Triche
- Kasper D. Hansen
- Jeffrey S. Morris
- Charlotte Soneson
- Mauro Delorenzi
- Jean-Philippe Fortin
In Molecular Biology
- Charlotte Soneson
- Timothy Triche
- Mauro Delorenzi
- Justin Guinney
- René Bernards
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- Joe W. Gray
- Kasper D. Hansen
Citations in the corpus
- The Consensus Molecular Subtypes of Colorectal Cancer (2015, methodology): “is supported by grants from the Dutch Cancer Society (UVA2011-4969, UVA2014-7245), Worldwide Cancer Research (14-1164), the Maag Lever Darm Stichting (MLDS-CDG 14-03) and the European Research Council (ERG-StG 638193).”
- Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression (2016, methodology): “These transcriptomes were normalized [13] to allow their integration into a large meta-dataset which includes 1194 immune or non-immune microenvironment cell population samples; 742 tumor cell line samples were included as negative controls (Additional file 1: Table S1).”
- Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays (2014, unknown): “We downloaded gene expression data from normal lung [n¼ 20, Gene Expression Omnibus GSE31210 (Okayama et al., 2012)] and colon samples [n¼ 54, GEO GSE20916 and GSE41328 (Lin et al., 2006; Skrzypczak et al., 2010)] and preprocessed these with frozen robust multiarray analysis (McCall et al., 2010).”
- Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi (2016, methodology): “Of particular interest are single sample normalization methods which perform comparable to methods that pool information across multiple samples (McCall, Bolstad, and Irizarry, 2010; Piccolo, Sun, et al., 2012; Piccolo, Withers, et al., 2013).”