Integrating Language Models and Network Embeddings to Uncover Hidden Relationships in Neuromuscular Diseases

This publication has 18 references indexed in Scilit:

• Ontology learning towards expressiveness: A survey
  Computer Science Review, 2024
• Network community detection via neural embeddings
  Nature Communications, 2024
• An ontology-based text mining dataset for extraction of process-structure-property entities
  Scientific Data, 2024
• Molecular mechanisms and therapeutic strategies for neuromuscular diseases
  Cellular and Molecular Life Sciences, 2024
• Structured information extraction from scientific text with large language models
  Nature Communications, 2024
• Year in review 2021: Neuromuscular diseases
  Pediatric Pulmonology, 2022
• Gene expression analysis method integration and co-expression module detection applied to rare glucide metabolism disorders using ExpHunterSuite
  Scientific Reports, 2021
• Kernel Based Approaches to Identify Hidden Connections in Gene Networks Using NetAnalyzer
  2020
• Xrare: a machine learning method jointly modeling phenotypes and genetic evidence for rare disease diagnosis
  Genetics in Medicine, 2019
• Ancient texts to PubMed: a brief history of the peer-review process
  Journal of Perinatology, 2016