| Literature DB >> 12424128 |
Carlo Colantuoni1, George Henry, Scott Zeger, Jonathan Pevsner.
Abstract
SNOMAD is a collection of algorithms for the normalization and standardization of gene expression datasets derived from diverse biological and technological sources. In addition to conventional transformations and visualization tools, SNOMAD includes two non-linear transformations which correct for bias and variance which are non-uniformly distributed across the range of microarray element signal intensities: (1). Local mean normalization; and (2). Local variance correction (Z-score generation using a locally calculated standard deviation).Mesh:
Year: 2002 PMID: 12424128 DOI: 10.1093/bioinformatics/18.11.1540
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937