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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Alkhatib, 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 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.

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Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Computational Theory and Mathematics

Field

Computer Science

Domain

Physical Sciences

Confidence Score

98%

Source

Open Alex

Keywords

MedicineCell BiologyPharmacologyBiotechnologyCancerHematology110309 Infectious DiseasesFOS: Health sciencesPlant BiologyFOS: Biological sciences

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00