Predicting gene essentiality in Caenorhabditis elegans by feature engineering and machine-learning is a research paper published in Computational and Structural Biotechnology Journal (2020). On theSindex it has a DataRank of 0.642. It has been cited 22 times, with 12 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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
0.470
From this paper's citation signal
Citation Network Contribution
0.172
From 9 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 12 citers.
NHGRI NIH HHS
Grant: U24 HG002223
National Health and Medical Research Council
Australian Research Council
National Institutes of Health
Keywords