Using LLMs and Explainable ML to Analyze Biomarkers at Single-Cell Level for Improved Understanding of Diseases

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-speci...

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Detalles Bibliográficos
Autores principales: Elsborg, Jonas, Salvatore, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605495/
https://www.ncbi.nlm.nih.gov/pubmed/37892198
http://dx.doi.org/10.3390/biom13101516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10605495/
https://www.ncbi.nlm.nih.gov/pubmed/37892198
http://dx.doi.org/10.3390/biom13101516

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