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Capturing hidden regulation based on noise change of gene expression level from single cell RNA-seq in yeast
Recent progress in high throughput single cell RNA-seq (scRNA-seq) has activated the development of data-driven inferring methods of gene regulatory networks. Most network estimations assume that perturbations produce downstream effects. However, the effects of gene perturbations are sometimes compe...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604932/ https://www.ncbi.nlm.nih.gov/pubmed/34799619 http://dx.doi.org/10.1038/s41598-021-01558-y |