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Modeling of transcriptional regulatory networks (TRNs) has been increasingly used to dissect the nature of gene regulation. Inference of regulatory relationships among transcription factors (TFs) and genes, especially among multiple

Modeling of transcriptional regulatory networks (TRNs) has been increasingly used to dissect the nature of gene regulation. Inference of regulatory relationships among transcription factors (TFs) and genes, especially among multiple TFs, is still challenging. In this study, we introduced an integrative method, LogicTRN, to decode TF–TF interactions that form TF logics in regulating target genes.

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    Date Created
    • 2017-10-19
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    • Digital object identifier: 10.1038/s41467-017-01193-0
    • Identifier Type
      International standard serial number
      Identifier Value
      2041-1723
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    Yan, B., Guan, D., Wang, C., Wang, J., He, B., Qin, J., . . . Zhu, H. (2017). An integrative method to decode regulatory logics in gene transcription. Nature Communications, 8(1). doi:10.1038/s41467-017-01193-0

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