PreCanCell: An ensemble learning algorithm for predicting cancer and non-cancer cells from single-cell transcriptomes

We propose PreCanCell, a novel algorithm for predicting malignant and non-malignant cells from single-cell transcriptomes. PreCanCell first identifies the differentially expressed genes (DEGs) between malignant and non-malignant cells commonly in five common cancer types-associated single-cell trans...

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Detalles Bibliográficos
Autores principales: Yang, Tao, Yan, Qiyu, Long, Rongzhuo, Liu, Zhixian, Wang, Xiaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371765/
https://www.ncbi.nlm.nih.gov/pubmed/37501705
http://dx.doi.org/10.1016/j.csbj.2023.07.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371765/
https://www.ncbi.nlm.nih.gov/pubmed/37501705
http://dx.doi.org/10.1016/j.csbj.2023.07.009

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