Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database.
- DOI
- 10.1371/journal.pone.0058201
- Published
- 2013
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0058201,
title = {Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database.},
author = {Davis AP and Wiegers TC and Johnson RJ and Lay JM and Lennon-Hopkins K and Saraceni-Richards C and Sciaky D and Murphy CG and Mattingly CJ},
year = {2013},
journal = {PloS one},
doi = {10.1371/journal.pone.0058201},
url = {https://doi.org/10.1371/journal.pone.0058201}
}RIS
TY - JOUR TI - Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database. AU - Davis AP AU - Wiegers TC AU - Johnson RJ AU - Lay JM AU - Lennon-Hopkins K AU - Saraceni-Richards C AU - Sciaky D AU - Murphy CG AU - Mattingly CJ PY - 2013 JO - PloS one DO - 10.1371/journal.pone.0058201 UR - https://doi.org/10.1371/journal.pone.0058201 ER -
APA
AP, D., TC, W., RJ, J., JM, L., K, L., C, S., D, S., CG, M., & CJ, M. (2013). Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database.. PloS one. https://doi.org/10.1371/journal.pone.0058201
Source records
- pubmed · retrieved 2026-09-26T19:10:11.953Z