Optimizer’s dilemma: optimization strongly influences model selection in transcriptomic prediction is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
Scored on demand from live citation data
Linked data & code
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
0.104
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: 1S10OD028483-01A1
High-Throughput Computing for Genomics and Bioinformatics Research
European Commission
Grant: 237170
Impact of international trade on labour market performance in selected counties of Central Europe: does EU accession matter?
National Institutes of Health
Grant: 5R01CA237170-06
Characterization of high-grade serous ovarian cancer subtypes via single-cell profiling
Fields of Study
Keywords
Sustainable Development Goals