SNOMAD (Standardization and NOrmalization of MicroArray Data): web-accessible gene expression data analysis

被引：90
|
作者：
Colantuoni, C
Henry, G
Zeger, S
Pevsner, J
机构：
[1] Kennedy Krieger Inst, Dept Neurol, Baltimore, MD 21205 USA
[2] Johns Hopkins Univ, Sch Med, Dept Neurosci, Baltimore, MD 21205 USA
[3] Johns Hopkins Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA
来源：
BIOINFORMATICS | 2002年 / 18卷 / 11期
关键词：
D O I：
10.1093/bioinformatics/18.11.1540
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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).
引用
收藏
页码：1540 / 1541
页数：2
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