Identification of differentially expressed genes at the single-cell level and prognosis prediction through bulk RNA sequencing data in breast cancer

Background: The invention and development of single-cell technologies have contributed a lot to the understanding of tumor heterogeneity. The objective of this research was to investigate the differentially expressed genes (DEGs) between normal and tumor cells at the single-cell level and explore th...

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Detalles Bibliográficos
Autores principales: Chen, Hanghang, Tian, Tian, Luo, Haihua, Jiang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523223/
https://www.ncbi.nlm.nih.gov/pubmed/36186437
http://dx.doi.org/10.3389/fgene.2022.979829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523223/
https://www.ncbi.nlm.nih.gov/pubmed/36186437
http://dx.doi.org/10.3389/fgene.2022.979829

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