An introduction to representation learning for single-cell data analysis

Single-cell-resolved systems biology methods, including omics- and imaging-based measurement modalities, generate a wealth of high-dimensional data characterizing the heterogeneity of cell populations. Representation learning methods are routinely used to analyze these complex, high-dimensional data...

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Detalles Bibliográficos
Autores principales: Gunawan, Ihuan, Vafaee, Fatemeh, Meijering, Erik, Lock, John George
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475795/
https://www.ncbi.nlm.nih.gov/pubmed/37671013
http://dx.doi.org/10.1016/j.crmeth.2023.100547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475795/
https://www.ncbi.nlm.nih.gov/pubmed/37671013
http://dx.doi.org/10.1016/j.crmeth.2023.100547

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