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
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author Xu, Yang
McCord, Rachel Patton
author_facet Xu, Yang
McCord, Rachel Patton
author_sort Xu, Yang
collection PubMed
description 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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spelling pubmed-92066442022-06-20 Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward Xu, Yang McCord, Rachel Patton Nat Commun Comment 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. Nature Publishing Group UK 2022-06-18 /pmc/articles/PMC9206644/ /pubmed/35717437 http://dx.doi.org/10.1038/s41467-022-31104-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Xu, Yang
McCord, Rachel Patton
Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
title Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
title_full Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
title_fullStr Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
title_full_unstemmed Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
title_short Diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
title_sort diagonal integration of multimodal single-cell data: potential pitfalls and paths forward
topic Comment
url 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
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AT mccordrachelpatton diagonalintegrationofmultimodalsinglecelldatapotentialpitfallsandpathsforward

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