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Partial least squares Analyses for Genomics Plsgenomics


A statistical approach based on partial least squares regression to infer the true TFAs from a combination of mRNA expression and DNA-protein binding measurements. Plsgenomics is also statistically sound for small samples and allows the detection of functional interactions among the transcription factors via the notion of "meta"-transcription factors. Plsgenomics performs very well both for simulated data and for real expression and ChIP data from yeast and E. Coli experiments. It overcomes the limitations of previously used approaches to estimating TFAs.

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Plsgenomics classification

Plsgenomics specifications

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Command line interface
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Unix/Linux, Mac OS, Windows
GNU General Public License version 3.0, GNU General Public License version 2.0
MASS, boot, parallel

Plsgenomics distribution


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Plsgenomics support



  • Ghislain Durif <>


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Funding source(s)

This work was supported by the Deutsche Forschungsgemeinschaft (DFG) through an Emmy-Noether research grant to K.S. and the Sonderforschungsbereich 386.

Link to literature

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