Reconstructing the maize leaf regulatory network using ChIP-seq data of 104 transcription factors
Transcriptional factors (TFs) bind in a combinatorial fashion to specify the on-and-off states of genes in a complex and redundant regulatory network. Here, the authors construct the transcription regulatory network in maize leaf using 104 TFs ChIP-seq data and train machine learning models to predi...
| Auteurs principaux: | , , , , , , , , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Nature Portfolio
2020-10-01
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| Collection: | Nature Communications |
| Accès en ligne: | https://doi.org/10.1038/s41467-020-18832-8 |