SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference

BACKGROUND: The identification of gene regulatory networks (GRNs) facilitates the understanding of the underlying molecular mechanism of various biological processes and complex diseases. With the availability of single-cell RNA sequencing data, it is essential to infer GRNs from single-cell express...

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Detalles Bibliográficos
Autores principales: Guan, Jinting, Wang, Yang, Wang, Yongjie, Zhuang, Yan, Ji, Guoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710113/
https://www.ncbi.nlm.nih.gov/pubmed/36451086
http://dx.doi.org/10.1186/s12864-022-09020-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710113/
https://www.ncbi.nlm.nih.gov/pubmed/36451086
http://dx.doi.org/10.1186/s12864-022-09020-7

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