title: SNOMAD (Standardization and NOrmalization of MicroArray Data): web-accessible gene expression data analysis.
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).
authors.affiliation: Department of Neurology, Kennedy Krieger Institute, 707 North Broadway, Baltimore, MD 21205, USA.
authors.forename: Carlo
authors.initials: C
authors.lastname: Colantuoni
authors.forename: George
authors.initials: G
authors.lastname: Henry
authors.forename: Scott
authors.initials: S
authors.lastname: Zeger
authors.forename: Jonathan
authors.initials: J
authors.lastname: Pevsner
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D003628:Database Management Systems; D030561:Databases, Nucleic Acid; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D005786:Gene Expression Regulation; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods* / Q000592:standards; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000592:standards; D012984:Software