JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing

BACKGROUND: Single-cell RNA-Sequencing (scRNA-Seq) has provided single-cell level insights into complex biological processes. However, the high frequency of gene expression detection failures in scRNA-Seq data make it challenging to achieve reliable identification of cell-types and Differentially Ex...

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Detalles Bibliográficos
Autores principales: Cui, Tao, Wang, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798298/
https://www.ncbi.nlm.nih.gov/pubmed/33430769
http://dx.doi.org/10.1186/s12864-020-07302-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798298/
https://www.ncbi.nlm.nih.gov/pubmed/33430769
http://dx.doi.org/10.1186/s12864-020-07302-6

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