Article

LORE: A Literature Semantics Framework for Evidenced Disease-Gene Pathogenicity Prediction at Scale

2024-08-11

Abstract excerpt

Effective utilization of academic literature is crucial for Machine Reading Comprehension to generate actionable scientific knowledge for wide real-world applications. Recently, Large Language Models (LLMs) have emerged as a powerful tool for distilling knowledge from scientific articles, but they struggle with the issues of reliability and verifiability. Here, we propose LORE, a novel unsupervised two-stage readi...

Topics

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

Identifiers and source

Literature Corpus work: d93bd15a-97cf-5e69-ad1b-28579251e595
DOI: 10.1101/2024.08.10.24311801

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

LORE: A Literature Semantics Framework for Evidenced Disease-Gene Pathogenicity Prediction at ScaleDOI 10.1101/2024.08.10.24311801Read

Domain-specific embeddings uncover latent genetics knowledgeSemantic proximity Read

Corpus-wide causality: Algorithm design & application for aggregating gene-disease causal evidenceSemantic proximity Read

Beyond associations: A benchmark Causal Relation Extraction Dataset (CRED) of disease-causing genes, its comparative evaluation, interpretation and applicationSemantic proximity Read

MACE2K: A Text-Mining Tool to Extract Literature-based Evidence for Variant Interpretation using Machine LearningSemantic proximity Read

Recapitulation and Retrospective Prediction of Biomedical Associations Using Temporally-enabled Word EmbeddingsSemantic proximity Read

Detection of patient metadata in published articles for genomic epidemiology using machine learning and large language modelsSemantic proximity Read

Poisoning scientific knowledge using large language modelsSemantic proximity Read

RD-Embed: Unified representations of rare-disease knowledge from clinical recordsSemantic proximity Read

Instruction-tuned extraction of virus-host interactions from integrated scientific evidenceSemantic proximity Read

ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records AnalysisSemantic proximity Read

PREDICTING GENE DISEASE ASSOCIATIONS WITH KNOWLEDGE GRAPH EMBEDDINGS FOR DISEASES WITH CURTAILED INFORMATIONSemantic proximity Read

A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare DiseasesSemantic proximity Read