Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample is a research paper published in Genome biology (2022). On theSindex it has a DataRank of 0.972. It has been cited 34 times, with 27 citing works in its 1-hop citation network.
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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
0.533
From this paper's citation signal
Citation Network Contribution
0.439
From 15 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 27 citers.
NCI NIH HHS
Grant: HHSN261201400008C
NCI NIH HHS
Grant: HHSN261201500003C
NCI NIH HHS
Grant: HHSN261201500003I
FWCI
2.78
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Additional file 1 of Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Additional file 2 of Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Additional file 2 of Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Additional file 3 of Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Additional file 3 of Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Additional file 2 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 2 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 3 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 3 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 5 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 4 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 4 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 1 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 5 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Additional file 1 of Haplotype-resolved assemblies and variant benchmark of a Chinese Quartet
Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample
Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample