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WASABI: a dynamic iterative framework for gene regulatory network inference
BACKGROUND: Inference of gene regulatory networks from gene expression data has been a long-standing and notoriously difficult task in systems biology. Recently, single-cell transcriptomic data have been massively used for gene regulatory network inference, with both successes and limitations. RESUL...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6498543/ https://ncbi.nlm.nih.gov/pubmed/31046682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2798-1 |
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