SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples

Advances in single-cell RNA sequencing (scRNA-Seq) have allowed for comprehensive analyses of single cell data. However, current analyses of scRNA-Seq data usually start from unsupervised clustering or visualization. These methods ignore prior knowledge of transcriptomes and the probable structures...

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Detalles Bibliográficos
Autores principales: Zhang, Ze, Luo, Danni, Zhong, Xue, Choi, Jin Huk, Ma, Yuanqing, Wang, Stacy, Mahrt, Elena, Guo, Wei, Stawiski, Eric W, Modrusan, Zora, Seshagiri, Somasekar, Kapur, Payal, Hon, Gary C., Brugarolas, James, Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678337/
https://www.ncbi.nlm.nih.gov/pubmed/31336988
http://dx.doi.org/10.3390/genes10070531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6678337/
https://www.ncbi.nlm.nih.gov/pubmed/31336988
http://dx.doi.org/10.3390/genes10070531

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