ArticleBMC bioinformatics2010
LAITOR--Literature Assistant for Identification of Terms co-Occurrences and Relationships.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Identification of most influential co-occurring gene suites for gastrointestinal cancer using biomedical literature mining and graph-based influence maximization.BMC medical informatics and decision making · 2020Article
- LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks.BMC bioinformatics · 2020Article
- Text Mining for Protein Docking.PLoS computational biology · 2015Article
- Article
- Extracting rate changes in transcriptional regulation from MEDLINE abstracts.BMC bioinformatics · 2014Article
- Large-scale structure of a network of co-occurring MeSH terms: statistical analysis of macroscopic properties.PloS one · 2014Article
- Database constraints applied to metabolic pathway reconstruction tools.TheScientificWorldJournal · 2014Article
- Systems biology elucidates common pathogenic mechanisms between nonalcoholic and alcoholic-fatty liver disease.PloS one · 2013Article
- Article
- Preimplantation development regulatory pathway construction through a text-mining approach.BMC genomics · 2011Article
- PESCADOR, a web-based tool to assist text-mining of biointeractions extracted from PubMed queries.BMC bioinformatics · 2011Article
- Biblio-MetReS: a bibliometric network reconstruction application and server.BMC bioinformatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBiological knowledge is represented in scientific literature that often describes the function of genes/proteins (bioentities) in terms of their interactions (biointeractions). Such bioentities are often related to biological concepts of interest that are specific of a determined research field. Therefore, the study of the current literature about a selected topic deposited in public databases, facilitates the generation of novel hypotheses associating a set of bioentities to a common context.
resultsWe created a text mining system (LAITOR: Literature Assistant for Identification of Terms co-Occurrences and Relationships) that analyses co-occurrences of bioentities, biointeractions, and other biological terms in MEDLINE abstracts. The method accounts for the position of the co-occurring terms within sentences or abstracts. The system detected abstracts mentioning protein-protein interactions in a standard test (BioCreative II IAS test data) with a precision of 0.82-0.89 and a recall of 0.48-0.70. We illustrate the application of LAITOR to the detection of plant response genes in a dataset of 1000 abstracts relevant to the topic.
conclusionsText mining tools combining the extraction of interacting bioentities and biological concepts with network displays can be helpful in developing reasonable hypotheses in different scientific backgrounds.
Indexed as
Identifiers
What 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.