Experimental noise cutoff boosts inferability of transcriptional networks in 
large-scale gene-deletion studies

Blum, C. F.; Heramvand, N.; Khonsari, A. S.; Kollmann, M.

doi:10.1038/s41467-017-02489-x

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Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies

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Blum, C. F.
IMPRS, MPI for Plant Breeding Research, Max Planck Society;

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Heramvand, N.
IMPRS, MPI for Plant Breeding Research, Max Planck Society;

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Blum, C. F., Heramvand, N., Khonsari, A. S., & Kollmann, M. (2018). Experimental noise cutoff boosts inferability of transcriptional networks in large-scale gene-deletion studies. Nature Communications, 9: 133. doi:10.1038/s41467-017-02489-x.

Cite as: https://hdl.handle.net/21.11116/0000-0001-4904-9

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