ncdDetect2: improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation is a research paper published in Bioinformatics (2018). On theSindex it has a DataRank of 0.623. It has been cited 10 times, with 8 citing works in its 1-hop citation network.
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?
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Base Score Contribution
0.360
From this paper's citation signal
Citation Network Contribution
0.264
From 8 citing papers with measurable signal
Sapere Aude
Grant: 12-126439
Innovation Fund Denmark
Grant: 10-092320/DSF
Independent Research Fund Denmark
Grant: 7016-00379
NHGRI NIH HHS
Grant: U01 HG009088
JSP
FWCI
0.24
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 1 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 5 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 2 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 3 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 5 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 7 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 4 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 6 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 7 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 4 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 6 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 3 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact
Additional file 2 of Gsw-fi: a GLM model incorporating shrinkage and double-weighted strategies for identifying cancer driver genes with functional impact