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Global gene network exploration based on explainable artificial intelligence approach
In recent years, personalized gene regulatory networks have received significant attention, and interpretation of the multilayer networks has been a critical issue for a comprehensive understanding of gene regulatory systems. Although several statistical and machine learning approaches have been dev...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647077/ https://ncbi.nlm.nih.gov/pubmed/33156825 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0241508 |
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