Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward

Diagonal integration of multimodal single-cell data emerges as a trending topic. However, empowering diagonal methods for novel biological discoveries requires bridging huge gaps. Here, we comment on potential risks and future directions of diagonal integration for multimodal single-cell data.

Detalles Bibliográficos
Autores principales: Xu, Yang, McCord, Rachel Patton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206644/
https://www.ncbi.nlm.nih.gov/pubmed/35717437
http://dx.doi.org/10.1038/s41467-022-31104-x
Descripción
Sumario:Diagonal integration of multimodal single-cell data emerges as a trending topic. However, empowering diagonal methods for novel biological discoveries requires bridging huge gaps. Here, we comment on potential risks and future directions of diagonal integration for multimodal single-cell data.

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