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Data-driven comparison of multiple high-dimensional single-cell expression profiles

Comparing multiple single-cell expression datasets such as cytometry and scRNA-seq data between case and control donors provides information to elucidate the mechanisms of disease. We propose a completely data-driven computational biological method for this task. This overcomes the challenges of con...

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Detalles Bibliográficos
Autores principales: Okada, Daigo, Cheng, Jian Hao, Zheng, Cheng, Yamada, Ryo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8948086/
https://www.ncbi.nlm.nih.gov/pubmed/34719682
http://dx.doi.org/10.1038/s10038-021-00989-9