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Using LLM Models and Explainable ML to Analyse Biomarkers at Single Cell Level for Improved Understanding of Diseases

2023-08-30

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) technology has significantly advanced our understanding of the diversity of cells and how this diversity is implicated in diseases. Yet, translating these findings across various scRNA-seq datasets poses challenges due to technical variability and dataset-specific biases. To overcome this, we present a novel approach that employs both an LLM-based framework and explainable ma...

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Literature Corpus work
0885e42e-ff90-5563-9063-fc9751869ce6
DOI
10.20944/preprints202308.1978.v1
Open publication

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Using LLM Models and Explainable ML to Analyse Biomarkers at Single Cell Level for Improved Understanding of DiseasesDOI 10.20944/preprints202308.1978.v1
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