Package: snm Type: Package Title: Supervised Normalization of Microarrays Version: 1.60.0 Author: Brig Mecham and John D. Storey Description: SNM is a modeling strategy especially designed for normalizing high-throughput genomic data. The underlying premise of our approach is that your data is a function of what we refer to as study-specific variables. These variables are either biological variables that represent the target of the statistical analysis, or adjustment variables that represent factors arising from the experimental or biological setting the data is drawn from. The SNM approach aims to simultaneously model all study-specific variables in order to more accurately characterize the biological or clinical variables of interest. Maintainer: John D. Storey Depends: R (>= 2.12.0) Imports: corpcor, lme4 (>= 1.0), splines License: LGPL biocViews: Microarray, OneChannel, TwoChannel, MultiChannel, DifferentialExpression, ExonArray, GeneExpression, Transcription, MultipleComparison, Preprocessing, QualityControl Config/pak/sysreqs: cmake make Repository: Bioconductor 3.23 Date/Publication: 2026-04-28 12:35:01 UTC RemoteUrl: https://github.com/bioc/snm RemoteRef: RELEASE_3_23 RemoteSha: 37667cddca419c51fb52891d7691f2832bcc841d NeedsCompilation: no Packaged: 2026-07-17 05:00:38 UTC; root