Evidence map›Paper›PMID 26380306›Full record

ArticleBioMed research international2015

GNormPlus: An Integrative Approach for Tagging Genes, Gene Families, and Protein Domains.

Chih-Hsuan Wei, Hung-Yu Kao, Zhiyong Lu

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

114 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  13. Ensemble pretrained language models to extract biomedical knowledge from literature.Journal of the American Medical Informatics Association : JAMIA · 2024
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  19. Semantics-enabled biomedical literature analytics.Journal of biomedical informatics · 2024
    Article
  20. Article

54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chih-Hsuan WeiNational Center for Biotechnology Information (NCBI), 8600 Rockville Pike, Bethesda, MD 20894, USA.
Hung-Yu KaoDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Zhiyong LuNational Center for Biotechnology Information (NCBI), 8600 Rockville Pike, Bethesda, MD 20894, USA.

Funding

Named Entity Recognition and Relationship Extraction in BiomedicineZIALM091813 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LU, ZHIYONG · 2013 to 2022
$13.4M
Intramural NIH HHS
6 · The paper itself

Abstract

The automatic recognition of gene names and their associated database identifiers from biomedical text has been widely studied in recent years, as these tasks play an important role in many downstream text-mining applications. Despite significant previous research, only a small number of tools are publicly available and these tools are typically restricted to detecting only mention level gene names or only document level gene identifiers. In this work, we report GNormPlus: an end-to-end and open source system that handles both gene mention and identifier detection. We created a new corpus of 694 PubMed articles to support our development of GNormPlus, containing manual annotations for not only gene names and their identifiers, but also closely related concepts useful for gene name disambiguation, such as gene families and protein domains. GNormPlus integrates several advanced text-mining techniques, including SimConcept for resolving composite gene names. As a result, GNormPlus compares favorably to other state-of-the-art methods when evaluated on two widely used public benchmarking datasets, achieving 86.7% F1-score on the BioCreative II Gene Normalization task dataset and 50.1% F1-score on the BioCreative III Gene Normalization task dataset. The GNormPlus source code and its annotated corpus are freely available, and the results of applying GNormPlus to the entire PubMed are freely accessible through our web-based tool PubTator.

Indexed as

Computational BiologyData MiningSoftwareDatabases, FactualMultigene FamilyProtein Structure, TertiaryPubMed

Identifiers

PMID26380306
PMCPMC4561873

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.