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Statistical methods for ranking differentially expressed genes.
Broberg P
Genome Biol
2003,
4
:R41
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BioMed Central articles that cite the above article:
1.
Methodology article
Semi-supervised discovery of differential genes
Oba S, lshii S
BMC Bioinformatics
2006,
7
:414
(18 September 2006)
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Novak JP, Kim SY, Xu J, Modlich O, Volsky DJ, Honys D, Slonczewski JL, Bell DA, Blattner FR, Blumwald E, Boerma M, Cosio M, Gatalica Z, Hajduch M, Hidalgo J, McInnes RR, Miller III MC, Penkowa M, Rolph MS, Sottosanto J, St-Arnaud R, Szego MJ, Twell D, Wang C
Biology Direct
2006,
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(7 September 2006)
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A comparative review of estimates of the proportion unchanged genes and the false discovery rate
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Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Hu P, Greenwood CMT, Beyene J
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Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control dataset
Choe SE, Boutros M, Michelson AM, Church GM, Halfon MS
Genome Biology
2005,
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:R16
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Improving the statistical detection of regulated genes from microarray data using intensity-based variance estimation
Comander J, Natarajan S, Gimbrone MA, García-Cardeña G
BMC Genomics
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