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scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data

Single-cell RNA-sequencing (scRNA-seq) has been widely used for disease studies, where sample batches are collected from donors under different conditions including demographical groups, disease stages, and drug treatments. It is worth noting that the differences among sample batches in such a study...

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Detalles Bibliográficos
Autores principales: Zhang, Ziqi, Zhao, Xinye, Qiu, Peng, Zhang, Xiuwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187255/
https://www.ncbi.nlm.nih.gov/pubmed/37205545
http://dx.doi.org/10.1101/2023.05.01.538975