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» Analysis of variance components in gene expression data
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BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
14 years 10 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
90
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BMCBI
2007
147views more  BMCBI 2007»
14 years 10 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
79
Voted
BMCBI
2008
158views more  BMCBI 2008»
14 years 10 months ago
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...
JCB
2000
68views more  JCB 2000»
14 years 10 months ago
Analysis of Variance for Gene Expression Microarray Data
M. Kathleen Kerr, Mitchell Martin, Gary A. Churchi...
54
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BMCBI
2005
119views more  BMCBI 2005»
14 years 10 months ago
AnovArray: a set of SAS macros for the analysis of variance of gene expression data
Christelle Hennequet-Antier, Hélène ...