Carolyn J. Mattingly
Molecular Biology · 2008–2022
A researcher in the Science corpus: 11 papers; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 97 citations into it; #5,654 of 17,773 by trust here, #2,904 by citations
- Computational Theory and Mathematics — 23 citations into it; #5,391 of 12,182 by trust here, #578 by citations
- Artificial Intelligence — 15 citations into it; #29,947 of 35,345 by trust here, #10,667 by citations
Whom Carolyn J. Mattingly trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Carolyn J. Mattingly overall
Papers from Carolyn J. Mattingly's perspective
Ordered by how strongly the researchers Carolyn J. Mattingly trusts endorse each paper. Same corpus, a different order for every researcher.
- PubTator: a web-based text mining tool for assisting biocuration
- ChEBI: a database and ontology for chemical entities of biological interest
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (Pacific Symposium on Biocomputing)
- Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
- Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks (BioNLP@ACL)
- DNorm: disease name normalization with pairwise learning to rank
- A side effect resource to capture phenotypic effects of drugs
- Extraction of potential adverse drug events from medical case reports
- Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
Their papers
- BioCreative V CDR task corpus: a resource for chemical disease relation extraction (2016) — 1,061 citations
- Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task (2016) — 357 citations
- Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical–gene–disease networks (2008) — 320 citations
- The Comparative Toxicogenomics Database: update 2019 (2018) — 802 citations
- The Comparative Toxicogenomics Database: update 2013 (2012) — 514 citations
- The Comparative Toxicogenomics Database's 10th year anniversary: update 2015 (2014) — 384 citations
- The Comparative Toxicogenomics Database: update 2017 (2016) — 246 citations
- The Comparative Toxicogenomics Database: update 2011 (2010) — 557 citations
- A CTD–Pfizer collaboration: manual curation of 88 000 scientific articles text mined for drug–disease and drug–phenotype interactions (2013) — 103 citations
- Comparative Toxicogenomics Database (CTD): update 2021 (2020) — 933 citations
- Comparative Toxicogenomics Database (CTD): update 2023 (2022) — 779 citations