Additional file 1: Table S1. of Leveraging global gene expression patterns to predict expression of unmeasured genes is a dataset published in Figshare (2015). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus.
Ranks in the top 100% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — 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 — never from an abstract alone.
National Institutes of Health
Grant: 5R01CA122443-06
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer Etiology
National Institutes of Health
Grant: 1R01CA122443-01A1
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer Etiology
National Institutes of Health
Grant: 5P50CA136393-10
Mayo Clinic Ovarian Cancer SPORE
National Institutes of Health
Grant: 3P30CA015083-37S2
Mayo Comprehensive Cancer Center Grant
National Institutes of Health
Grant: 5R01CA122443-02
Genetic Variation in the NF-kappaB Pathway and Ovarian Cancer Etiology
National Institutes of Health
Grant: 1F31CA186625-01
Refining ovarian cancer subtype classifiers to incorporate biologic features
National Institutes of Health
Grant: 4R01CA168758-04
Epidemiologic factors and survival by molecular subtypes of ovarian cancer
National Institutes of Health
Grant: 3P50CA136393-05S1
Mayo Clinic SPORE in Ovarian Cancer
National Institutes of Health
Grant: 5P30CA015083-32
CORE--MICROARRAY
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