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A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
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 (TFs) and their target genes, with a method able to handle...
Shranjeno v:
| izdano v: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7257163/ https://ncbi.nlm.nih.gov/pubmed/32471360 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3510-1 |
| Oznake: |
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