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Figure 1 | BMC Bioinformatics

Figure 1

From: Use of genomic DNA control features and predicted operon structure in microarray data analysis: ArrayLeaRNA – a Bayesian approach

Figure 1

Comparison of gene expression analysis approaches on experimental datasets. Analysis of the three datasets with the three approaches: ArrayLeaRNA after normalization based on genomic controls and two fold cut-off and OpWise after LOWESS normalization. Genes are classified as equally expressed (○), and up or down-regulated (●). Number of genes is reported for each category. The cut-off values for the posterior probability of equal expression were 0.01 for ArrayLeaRNA and 0.99 and 0.01 for OpWise.

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BMC Bioinformatics

ISSN: 1471-2105

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