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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...

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Detalles Bibliográficos
Autores principales: Itoh, Thoma, Makino, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
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

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