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Figure 1 | BMC Bioinformatics

Figure 1

From: Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana

Figure 1

A flowchart of the CERMT algorithm. The input is a set of microarray time series for several treatments and a transcription factor (TF) of interest. First the treatments in which the TF does not respond are removed. Then a pair of treatments are selected for which the same genes are highly covariant with the TF. The rest of the treatments are then searched and added or discarded depending on a goodness-of-fit test. Finally a cut-off for the gene list ordered by their covariance with the, possibly time shifted, TF in the selected treatments is estimated via the Gap statistic.

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BMC Bioinformatics

ISSN: 1471-2105

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