A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping is a research paper published in Journal of the Royal Statistical Society Series B (Statistical Methodology) (2020). On theSindex it has a DataRank of 1.0. It has been cited 1,088 times.
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Base Score Contribution
1.0
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 →NHGRI NIH HHS
Grant: R56 HG002585
NHGRI NIH HHS
Grant: R01 HG002585
FWCI
37.95
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
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Additional file 2 of Comparative transcriptome in large-scale human and cattle populations
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Additional file 1 of PCA outperforms popular hidden variable inference methods for molecular QTL mapping
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Additional file 3 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 3 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 16 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Additional file 16 of Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data