Additional file 5 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_5_of_Computational_quantification_and_characterization_of_independently_evolving_cellular_subpopulations_within_tumors_is_critical_to_inhibit_anti-cancer_therapy_resistance/21376360/1
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Additional file 5. Data file of in vivo experiments in the 4T1 system 12 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
