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

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/humu.22080openalex-snapshot

Deep phenotyping for precision medicine

inferredcites →https://doi.org/10.1007/978-3-540-71037-0_5openalex-snapshot

Learning Relations from Biomedical Corpora Using Dependency Trees

inferredcites →https://doi.org/10.1016/j.ajhg.2016.09.020openalex-snapshot

Proteome-Scale Investigation of Protein Allosteric Regulation Perturbed by Somatic Mutations in 7,000 Cancer Genomes

inferredcites →https://doi.org/10.1016/j.jbi.2010.08.005openalex-snapshot

Using text to build semantic networks for pharmacogenomics

inferredcites →https://doi.org/10.1016/j.jbi.2018.03.011openalex-snapshot

A hybrid model based on neural networks for biomedical relation extraction

inferredcites →https://doi.org/10.1016/j.procbio.2016.05.015openalex-snapshot

Protein misfolding and aggregation: Mechanism, factors and detection

inferredcites →https://doi.org/10.1016/j.semcdb.2011.12.004openalex-snapshot

The evolution of gene expression and the transcriptome–phenotype relationship

inferredcites →https://doi.org/10.1038/mp.2016.230openalex-snapshot

Molecular interaction between type 2 diabetes and Alzheimer’s disease through cross-seeding of protein misfolding

inferredcites →https://doi.org/10.1038/nrg3868openalex-snapshot

Methods of integrating data to uncover genotype–phenotype interactions

inferredcites →https://doi.org/10.1038/nrm3970openalex-snapshot

Multidimensional proteomics for cell biology

inferredcites →https://doi.org/10.1093/bioinformatics/17.4.359openalex-snapshot

Mining literature for protein–protein interactions

inferredcites →https://doi.org/10.1093/bioinformatics/btg279openalex-snapshot

Extraction of protein interaction information from unstructured text using a context-free grammar

inferredcites →https://doi.org/10.1093/bioinformatics/bth451openalex-snapshot

Discovering patterns to extract protein–protein interactions from full texts

inferredcites →https://doi.org/10.1093/bioinformatics/btl616openalex-snapshot

RelEx—Relation extraction using dependency parse trees

inferredcites →https://doi.org/10.1093/bioinformatics/btp245openalex-snapshot

Bayesian inference of protein–protein interactions from biological literature

inferredcites →https://doi.org/10.1093/bioinformatics/btq620openalex-snapshot

A hybrid approach to extract protein–protein interactions

inferredcites →https://doi.org/10.1093/database/baw156openalex-snapshot

BELMiner: adapting a rule-based relation extraction system to extract biological expression language statements from bio-medical literature evidence sentences

inferredcites →https://doi.org/10.1093/database/bay073openalex-snapshot

Extracting chemical–protein relations with ensembles of SVM and deep learning models

inferredcites →https://doi.org/10.1093/database/bay138openalex-snapshot

Extracting chemical–protein interactions from literature using sentence structure analysis and feature engineering

inferredcites →https://doi.org/10.1093/database/baz019openalex-snapshot

Ontology based text mining of gene-phenotype associations: application to candidate gene prediction

inferredcites →https://doi.org/10.1093/jamia/ocw041openalex-snapshot

Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature

inferredcites →https://doi.org/10.1093/nar/gkt1026openalex-snapshot

The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data

inferredcites →https://doi.org/10.1109/icsc.2020.00081openalex-snapshot

ProPheno 1.0: An Online Dataset for Accelerating the Complete Characterization of the Human Protein-Phenotype Landscape in Biomedical Literature

inferredcites →https://doi.org/10.1142/9789814447362_0040openalex-snapshot

EVENT EXTRACTION FROM BIOMEDICAL PAPERS USING A FULL PARSER

inferredcites →https://doi.org/10.1146/annurev-biochem-061516-044518openalex-snapshot

Protein Misfolding Diseases

inferredcites →https://doi.org/10.1146/annurev-biochem-061516-045115openalex-snapshot

Protein Misfolding, Amyloid Formation, and Human Disease: A Summary of Progress Over the Last Decade

inferredcites →https://doi.org/10.11613/bm.2012.031openalex-snapshot

Interrater reliability: the kappa statistic

inferredcites →https://doi.org/10.1186/1471-2164-7-257openalex-snapshot

Integration of curated databases to identify genotype-phenotype associations

inferredcites →https://doi.org/10.1186/s13326-017-0116-2openalex-snapshot

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature

inferredcites →https://doi.org/10.1186/s13326-017-0163-8openalex-snapshot

Identifying genotype-phenotype relationships in biomedical text

inferredcites →https://doi.org/10.1197/jamia.m2401openalex-snapshot

Automated Acquisition of Disease-Drug Knowledge from Biomedical and Clinical Documents: An Initial Study

inferredcites →https://doi.org/10.1371/journal.pbio.0030134openalex-snapshot

Systematic Association of Genes to Phenotypes by Genome and Literature Mining

inferredcites →https://doi.org/10.1371/journal.pbio.2002985openalex-snapshot

A population genetic interpretation of GWAS findings for human quantitative traits

inferredcites →https://doi.org/10.1371/journal.pcbi.1005017openalex-snapshot

Text Mining Genotype-Phenotype Relationships from Biomedical Literature for Database Curation and Precision Medicine

inferredcites →https://doi.org/10.1371/journal.pone.0152725openalex-snapshot

DiMeX: A Text Mining System for Mutation-Disease Association Extraction

inferredcites →https://doi.org/10.1371/journal.pone.0171929openalex-snapshot

Extracting microRNA-gene relations from biomedical literature using distant supervision

inferredcites →https://doi.org/10.3115/1218955.1219010openalex-snapshot

Classifying semantic relations in bioscience texts

inferredcites →https://doi.org/10.7287/peerj.preprints.27479v2openalex-snapshot

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

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10462-023-10393-8openalex-snapshot

A review of semi-supervised learning for text classification

inferred← citeshttps://doi.org/10.1109/cbms52027.2021.00055openalex-snapshot

BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks

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