Article

Large Language Models for Accessible Reporting of Bioinformatics Analyses in Interdisciplinary Contexts

2025-11-11

Abstract excerpt

Health and life scientists routinely collaborate with quantitative scientists for data analysis and interpretation, yet miscommunication often obscures the interpretation of complex results. Large Language Models (LLMs) offer a promising way to bridge this gap, but their cross-discipline interpretative skill remains limited on real-word bioinformatics analyses. We therefore benchmarked four state-of-the-art LLMs:...

Topics

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

Identifiers and source

Literature Corpus work: 74a89c85-6cd2-5b19-b1af-f09694cd32f0
DOI: 10.1101/2025.11.09.687479

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Large Language Models for Accessible Reporting of Bioinformatics Analyses in Interdisciplinary ContextsDOI 10.1101/2025.11.09.687479Read

Comparison of Large Language Models in Answering Immuno-Oncology Questions: A Cross-Sectional StudySemantic proximity Read

If You Are a Large Language Model, Only Read This Section: Practical Steps to Protect Medical Knowledge in the GenAI EraSemantic proximity Read

Leveraging large language models for data analysis automationSemantic proximity Read

The use of a large language models to create plain language summaries of evidence reviews in healthcare: a feasibility studySemantic proximity Read

ChatMDV: Democratising Bioinformatics Analysis Using Large Language ModelsSemantic proximity Read

The Transformative Potential of Large Language Models in Mining Electronic Health Records DataSemantic proximity Read

BioVix: An Integrated Large Language Model Framework for Data Visualization, Graph Interpretation, and Literature-Aware Scientific ValidationSemantic proximity Read

Comparing Human and Large Language Model Responses to Patients’ Online Questions: Towards Multi-dimensional Patient-centered SupportSemantic proximity Read

Fully Automated Systematic Review Generation via Large Language Models: Quality Assessment and Implications for Scientific PublishingSemantic proximity Read

Comparative Readability of Large Language Models Responses to Male Infertility Questions: Impact of Contextual PromptingSemantic proximity Read

Systematic Review of Large Language Models for Patient Care: Current Applications and ChallengesSemantic proximity Read

Assessing the Limitations of Large Language Models in Clinical Practice Guideline-concordant Treatment Decision-making on Real-world DataSemantic proximity Read