Manifold alignment for heterogeneous single-cell multi-omics data integration using Pamona

MOTIVATION: Single-cell multi-omics sequencing data can provide a comprehensive molecular view of cells. However, effective approaches for the integrative analysis of such data are challenging. Existing manifold alignment methods demonstrated the state-of-the-art performance on single-cell multi-omi...

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Detalles Bibliográficos
Autores principales: Cao, Kai, Hong, Yiguang, Wan, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696097/
https://www.ncbi.nlm.nih.gov/pubmed/34398192
http://dx.doi.org/10.1093/bioinformatics/btab594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696097/
https://www.ncbi.nlm.nih.gov/pubmed/34398192
http://dx.doi.org/10.1093/bioinformatics/btab594

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