Article

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical Literature

2019-05-31

Abstract excerpt

<h4>ABSTRACT</h4> The MEDLINE database provides an extensive source of scientific articles and heterogeneous biomedical information in the form of unstructured text. One of the most important knowledge present within articles are the relations between human proteins and their phenotypes, which can stay hidden due to the exponential growth of publications. This has presented a range of opportunities for the develo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1bdc2f07-adc5-580f-9b18-06a83333af0d
DOI: 10.1101/654475

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

PPPred: Classifying Protein-phenotype Co-mentions Extracted from Biomedical LiteratureDOI 10.1101/654475Read

DeepPPPred: An Ensemble of BERT, CNN, and RNN for Classifying Co-mentions of Proteins and PhenotypesSemantic proximity Read

ProPheno 1.0: An online dataset for accelerating the complete characterization of the human protein-phenotype landscape in biomedical literatureSemantic proximity Read

Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.Semantic proximity Read

Darling: A Web Application for Detecting Disease-Related Biomedical Entity Associations with Literature Mining.Semantic proximity Read

Mapping Phenotypic Information in Heterogeneous Textual Sources to a Domain-Specific Terminological Resource.Semantic proximity Read

CoCoScore: Context-aware co-occurrence scoring for text mining applications using distant supervisionSemantic proximity Read

Towards building a disease-phenotype knowledge base: extracting disease-manifestation relationship from literature.Semantic proximity Read

Predicting non-coding RNA function using Artificial Intelligence.Semantic proximity Read

Biomedical literature-based clinical phenotype definition discovery using large language models.Semantic proximity Read

Europe PMC Annotated Full-text Corpus for Gene/Proteins, Diseases and OrganismsSemantic proximity Read

PheneBank: a literature-based database of phenotypes.Semantic proximity Read

Extracting phenotypic information from the literature via natural language processing.Semantic proximity Read