Additional file 7 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_7_of_Computational_quantification_and_characterization_of_independently_evolving_cellular_subpopulations_within_tumors_is_critical_to_inhibit_anti-cancer_therapy_resistance/21376372/1
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Additional file 7. Data file of in vivo experiments in BR45 PDX mice 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.
提供机构：
Flashner-Abramson, Efrat; Granot, Zvi; Meirovitz, Amichay; Feldman, Jon; Rubinstein, Ariel M.; Chowdhury, Sangita Roy; Oguche, Solomon; Granit, Avital; Vasudevan, Swetha; Sheva, Kim; Cohen, Noa E.; Kravchenko-Balasha, Nataly; Stefansky, Shira; Peretz-Yablonsky, Tamar; Ben-Porath, Ittai; Alkhatib, Heba
创建时间：
2022-10-21
