Application of Information Technology: A Statistical Approach to Scanning the Biomedical Literature for Pharmacogenetics Knowledge
By Daniel L. Rubin, Caroline F. Thorn, Teri E. Klein, Russ B. Altman. 2005
50 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Zexian Zeng
- Yuan Luo
- Yu Deng
- Caroline F. Thorn
- Xiaoyu Li
- Tristan Naumann
- Teri E. Klein
- Russ B. Altman
Citations in the corpus
- Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “Computational phenotyping applications have been developed to mine pharmacogenomics knowledge [56-59].”
- Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text (2009, methodology): “Articles processed by our modified Text-presso (Pharmspresso) are selected to be relevant to pharmacogenomics based on previously reported tools [1,10].”
- PharmGKB: The Pharmacogenomics Knowledge Base (2013, methodology): “We conduct research into natural language processing (NLP) and ways in which to appropriately aggregate all pharmacogenetics and pharmacogenomics articles in Pubmed [12] but there is still a necessity for human curation to ensure quality data [13].”
- Biomedical ontologies: a functional perspective (2007, background): “Originally conceived to help librarians carry out literature search, the standard names provided by MeSH have proven useful for augmenting natural language processing methods for text processing, extraction and classification [21–24].”