Description
Abstract Background Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TF...
| Date made available | 2020 |
|---|---|
| Publisher | figshare |
Research output
- 1 Article
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A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Sauta, E., Demartini, A., Vitali, F., Riva, A. & Bellazzi, R., May 29 2020, In: BMC bioinformatics. 21, 1, 0203510.Research output: Contribution to journal › Article › peer-review
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