Cell type identification from single-cell transcriptomes in melanoma

BACKGROUND: Single-cell sequencing approaches allow gene expression to be measured at the single-cell level, providing opportunities and challenges to study the aetiology of complex diseases, including cancer. METHODS: Based on single-cell gene and lncRNA expression levels, we proposed a computation...

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Detalles Bibliográficos
Autores principales: Huo, Qiuyan, Yin, Yu, Liu, Fangfang, Ma, Yuying, Wang, Liming, Qin, Guimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596920/
https://www.ncbi.nlm.nih.gov/pubmed/34784909
http://dx.doi.org/10.1186/s12920-021-01118-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596920/
https://www.ncbi.nlm.nih.gov/pubmed/34784909
http://dx.doi.org/10.1186/s12920-021-01118-3

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