Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning

Bioinformatics(2020)10.1093/bioinformatics/btaa229Source: DataRank Database

Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning is a research paper published in Bioinformatics (2020). On theSindex it has a DataRank of 0. It has been cited 35 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access35 citations

Download PDF

Cite:

Linked data & code

refsnp

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)OA: goldTopics (11)Linked Datasets (24)DataCite Reuse (24)IDs (PubMed, PMC)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (8)

Jiawei Wen ORCID,Scott T Eckert,Yaqun Wang ORCID,Dajiang J. Liu ORCID,Rongling Wu ORCID

Live enrichment

PubMed:32246825 PMC:PMC7320616

National Institutes of Health

Grant: R21AI144765

National Institutes of Health

Grant: R01CA229542

National Institutes of Health

Grant: P50DA039838

National Institutes of Health

Grant: R01GM126479

National Institutes of Health

Grant: R01HG008983

National Science Foundation

Grant: DMS-1820702

National Institutes of Health

Grant: 5R01CA229542-03

Developing Methodology to examine causal mediation of Time-Varying Effects in Smoking Cessation Treatments

National Institutes of Health

Grant: 5R21AI144765-02

Novel statistical methods for controlled variable selection of microbiome data

National Science Foundation

Grant: 1820702

Optimization and Statistical Procedures for Big Data and Applications

National Institutes of Health

Grant: 3P50DA039838-01S1

Center for Complex Data to Knowledge in Drug Abuse and HIV Behavioral Science

National Institutes of Health

Grant: 5R01HG008983-04

Method to Enhance the Rare Variant Genetic Architecture Analysis in Meta-Analyses

National Institutes of Health

Grant: 5R01GM126479-03

Tools for integrative genomics and disease association study for the X chromosome

goldLicense: OUP Standard Publication Reuse

publisherhttp://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa229/33241662/btaa229.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/36/12/3811/50747102/bioinformatics_36_12_3811.pdf

https://doi.org/10.1093/bioinformatics/btaa229

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320616

https://pubmed.ncbi.nlm.nih.gov/32246825

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

PhenotypePolymorphism, Single NucleotideGenome-Wide Association StudyGenetic Association Studies

Keywords

PhenotypePolymorphism, Single NucleotideGenetic Association StudiesGenome-Wide Association Study

Additional file 3 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608224.v1figshare

Additional file 3 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608224figshare

Additional file 4 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608227.v1figshare

Additional file 4 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608227figshare

Additional file 5 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608230.v1figshare

Additional file 5 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608230figshare

Additional file 7 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608236.v1figshare

Additional file 7 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608236figshare

Additional file 8 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608239.v1figshare

Additional file 8 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608239figshare

Additional file 9 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608242.v1figshare

Additional file 9 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608242figshare

Additional file 10 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608245.v1figshare

Additional file 10 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608245figshare

Additional file 11 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608248.v1figshare

Additional file 11 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608248figshare

Additional file 12 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608251.v1figshare

Additional file 12 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608251figshare

Additional file 13 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608254.v1figshare

Additional file 13 of Genetic architecture of fresh-market tomato yield

10.6084/m9.figshare.22608254figshare

Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning

FAIR Checklist

Authors (8)

Funding (12 grants)

Open Access

Topics

Linked Datasets (24)

Annotations (Europe PMC)