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SIGNET: single-cell RNA-seq-based gene regulatory network prediction using multiple-layer perceptron bagging
High-throughput single-cell RNA-seq data have provided unprecedented opportunities for deciphering the regulatory interactions among genes. However, such interactions are complex and often nonlinear or nonmonotonic, which makes their inference using linear models challenging. We present SIGNET, a de...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769917/ https://www.ncbi.nlm.nih.gov/pubmed/34962260 http://dx.doi.org/10.1093/bib/bbab547 |