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RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique
BACKGROUND: Current gene regulatory network (GRN) inference methods are notorious for a great number of indirect interactions hidden in the predictions. Filtering out the indirect interactions from direct ones remains an important challenge in the reconstruction of GRNs. To address this issue, we de...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074326/ https://www.ncbi.nlm.nih.gov/pubmed/35524190 http://dx.doi.org/10.1186/s12859-022-04696-w |