Evaluation of single-cell RNA-seq clustering algorithms on cancer tumor datasets

Tumors are complex biological entities that comprise cell types of different origins, with different mutational profiles and different patterns of transcriptional dysregulation. The exploration of data related to cancer biology requires careful analytical methods to reflect the heterogeneity of cell...

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Detalles Bibliográficos
Autores principales: Mahalanabis, Alaina, Turinsky, Andrei L., Husić, Mia, Christensen, Erik, Luo, Ping, Naidas, Alaine, Brudno, Michael, Pugh, Trevor, Ramani, Arun K., Shooshtari, Parisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677128/
https://www.ncbi.nlm.nih.gov/pubmed/36420149
http://dx.doi.org/10.1016/j.csbj.2022.10.029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677128/
https://www.ncbi.nlm.nih.gov/pubmed/36420149
http://dx.doi.org/10.1016/j.csbj.2022.10.029

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