Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration

With the tremendous increase of publicly available single-cell RNA-sequencing (scRNA-seq) datasets, bioinformatics methods based on gene co-expression network are becoming efficient tools for analyzing scRNA-seq data, improving cell type prediction accuracy and in turn facilitating biological discov...

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Detalles Bibliográficos
Autores principales: Wang, Weixu, Tan, Huanhuan, Sun, Mingwan, Han, Yiqing, Chen, Wei, Qiu, Shengnu, Zheng, Ke, Wei, Gang, Ni, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136772/
https://www.ncbi.nlm.nih.gov/pubmed/33619563
http://dx.doi.org/10.1093/nar/gkab089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136772/
https://www.ncbi.nlm.nih.gov/pubmed/33619563
http://dx.doi.org/10.1093/nar/gkab089

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