Department of Biostatistics and Computational Biology, University of Rochester Medical Center, 265 Crittenden Blvd., CU 420630, Rochester, NY 14642, USA.
Bioinformatics. 2012 Dec 1;28(23):3153-4. doi: 10.1093/bioinformatics/bts588. Epub 2012 Oct 7.
Frozen robust multiarray analysis (fRMA) is a single-array preprocessing algorithm that retains the advantages of multiarray algorithms and removes certain batch effects by downweighting probes that have high between-batch residual variance. Here, we extend the fRMA algorithm to two new microarray platforms--Affymetrix Human Exon and Gene 1.0 ST--by modifying the fRMA probe-level model and extending the frma package to work with oligo ExonFeatureSet and GeneFeatureSet objects.
All packages are implemented in R. Source code and binaries are freely available through the Bioconductor project. Convenient links to all software and data packages can be found at http://mnmccall.com/software
冷冻稳健多阵列分析(fRMA)是一种单数组预处理算法,它保留了多阵列算法的优势,并通过降低具有高批次间残差方差的探针的权重来消除某些批次效应。在这里,我们通过修改 fRMA 探针级模型并扩展 frma 包以与 oligo ExonFeatureSet 和 GeneFeatureSet 对象配合使用,将 fRMA 算法扩展到两个新的微阵列平台——Affymetrix Human Exon 和 Gene 1.0 ST。
所有软件包均在 R 中实现。源代码和二进制文件可通过 Bioconductor 项目免费获得。所有软件和数据包的便捷链接可在 http://mnmccall.com/software 找到。