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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...

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Detalles Bibliográficos
Autores principales: Luo, Qinhuan, Yu, Yongzhen, Lan, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
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

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