Correcting for experiment-specific variability in expression compendia can remove underlying signals is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
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.
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5R01HG010067-05
Network-based algorithms for target identification and drug repositioning from genetic associations
National Institutes of Health
Grant: 5R01CA237170-06
Characterization of high-grade serous ovarian cancer subtypes via single-cell profiling
National Institutes of Health
Grant: 7R01CA200854-02
Characterizing Molecular Subtypes of Ovarian Cancer in African-American Women
National Science Foundation
Grant: 1458359
Bilateral BBSRC-NSF/BIO Collaborative Research: ABI Development: A Critical Assessment of Protein Function Annotation
National Institutes of Health
Grant: 5T32GM008704-13
Molecular and Cellular Biology at Dartmouth
Fields of Study
Keywords