ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq

MOTIVATION: The rapid advance in single-cell RNA sequencing (scRNA-seq) technology over the past decade has provided a rich resource of gene expression profiles of single cells measured on patients, facilitating the study of many biological questions at the single-cell level. One intriguing research...

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Detalles Bibliográficos
Autores principales: Xiong, Guangzhi, Bekiranov, Stefan, Zhang, Aidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444962/
https://www.ncbi.nlm.nih.gov/pubmed/37540223
http://dx.doi.org/10.1093/bioinformatics/btad493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444962/
https://www.ncbi.nlm.nih.gov/pubmed/37540223
http://dx.doi.org/10.1093/bioinformatics/btad493

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