Accurate Single-Cell Clustering through Ensemble Similarity Learning

Single-cell sequencing provides novel means to interpret the transcriptomic profiles of individual cells. To obtain in-depth analysis of single-cell sequencing, it requires effective computational methods to accurately predict single-cell clusters because single-cell sequencing techniques only provi...

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Detalles Bibliográficos
Autores principales: Jeong, Hyundoo, Shin, Sungtae, Yeom, Hong-Gi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623803/
https://www.ncbi.nlm.nih.gov/pubmed/34828276
http://dx.doi.org/10.3390/genes12111670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623803/
https://www.ncbi.nlm.nih.gov/pubmed/34828276
http://dx.doi.org/10.3390/genes12111670

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