Integrated single-dose kinome profiling data is predictive of cancer cell line sensitivity to kinase inhibitors is a research paper published in PeerJ (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: CA274298
National Institutes of Health
Grant: CA233811
National Institutes of Health
Grant: CA238475
National Institutes of Health
Grant: DK116204
NCI NIH HHS
Grant: U01 CA274298
NCI NIH HHS
Grant: U01 CA238475
NIDDK NIH HHS
Grant: U24 DK116204
NCI NIH HHS
Grant: R01 CA233811
National Institutes of Health
Grant: 1U01CA238475-01
Predictive Modeling of the EGFR-MAPK pathway for Triple Negative Breast Cancer Patients
National Institutes of Health
Grant: 7R01CA233811-02
MICROFABRICATED INSTRUMENTATION TO MEASURE SPHINGOLIPID SIGNALING IN HUMAN ACUTE MYELOID LEUKEMIA
National Institutes of Health
Grant: 3U01CA274298-01S1
Effect of JAK and RIPK2 inhibition on CAF and cancer cell crosstalk
National Institutes of Health
Grant: 5U24DK116204-04
Illuminating Function of the Understudied Druggable Kinome
Fields of Study
MeSH Terms
Keywords