Additional file 5 of Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance
View DatasetAlkhatib, Heba;Rubinstein, Ariel M.;Vasudevan, Swetha;Flashner-Abramson, Efrat;Stefansky, Shira;Chowdhury, Sangita Roy;Oguche, Solomon;Peretz-Yablonsky, Tamar;Granit, Avital;Granot, Zvi;Ben-Porath, Ittai;Sheva, Kim;Feldman, Jon;Cohen, Noa E.;Meirovitz, Amichay;Kravchenko-Balasha, Nataly
Description
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.
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Publication Details
DOI
Publisher
figshare
Subfield
Immunology
Field
Immunology and Microbiology
Domain
Life Sciences
Confidence Score
56%
Source
Scholar Data Model
Keywords
MedicineCell BiologyPharmacologyBiotechnologyCancerHematology110309 Infectious DiseasesFOS: Health sciencesPlant BiologyFOS: Biological sciences