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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...
Autores principales: | Chen, Hanghang, Tian, Tian, Luo, Haihua, Jiang, Yong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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