ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2008
TRANSLATING BIOLOGY: TEXT MINING TOOLS THAT WORK.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Reproducibility in Natural Language Processing: A Case Study of Two R Libraries for Mining PubMed/MEDLINE.LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation · 2016Article
- Text mining for literature review and knowledge discovery in cancer risk assessment and research.PloS one · 2012Article
- A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment.BMC bioinformatics · 2011Article
- The first step in the development of Text Mining technology for Cancer Risk Assessment: identifying and organizing scientific evidence in risk assessment literature.BMC bioinformatics · 2009Article
- Natural language processing in aid of FlyBase curators.BMC bioinformatics · 2008Article
- Frontiers of biomedical text mining: current progress.Briefings in bioinformatics · 2007Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
20827444PMC2934913W2137209653What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.