SCAN is a microarray normalization method to facilitate personalized-medicine workflows. Rather than processing microarray samples as groups, which can introduce biases and present logistical challenges, SCAN normalizes each sample individually by modeling and removing probe- and array-specific background noise using only data from within each array. SCAN can be applied to one-channel (e.g., Affymetrix) or two-channel (e.g., Agilent) microarrays. The Universal exPression Codes (UPC) method is an extension of SCAN that estimates whether a given gene/transcript is active above background levels in a given sample. The UPC method can be applied to one-channel or two-channel microarrays as well as to RNA-Seq read counts. Because UPC values are represented on the same scale and have an identical interpretation for each platform, they can be used for cross-platform data integration.
Package details |
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Author | Stephen R. Piccolo and Andrea H. Bild and W. Evan Johnson |
Bioconductor views | ImmunoOncology Microarray OneChannel Preprocessing RNASeq Software TwoChannel |
Maintainer | Stephen R. Piccolo <stephen_piccolo@byu.edu> |
License | MIT |
Version | 2.32.0 |
URL | http://bioconductor.org http://jlab.bu.edu/software/scan-upc |
Package repository | View on Bioconductor |
Installation |
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