Additional file 4 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
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https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Computational_quantification_and_characterization_of_independently_evolving_cellular_subpopulations_within_tumors_is_critical_to_inhibit_anti-cancer_therapy_resistance/21376354
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Additional file 4. Data file of in vivo experiments in the 4T1 system 6 days post RT. The data includes single cell protein expression levels as measured by FACS, lambda (λα(cell)) values and G (Giα) values and % of subpopulations out of the entire population.
补充文件4:4T1模型中放射治疗(Radiation Therapy, RT)后6天的体内实验数据文件。该数据集包含通过荧光激活细胞分选(Fluorescence-Activated Cell Sorting, FACS)检测得到的单细胞蛋白质表达水平、λα(细胞)值、Giα值,以及全体细胞群中亚群所占的百分比。
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figshare
创建时间:
2022-10-21



