Disentangling single-cell omics representation with a power spectral density-based feature extraction

Emerging single-cell technologies provide high-resolution measurements of distinct cellular modalities opening new avenues for generating detailed cellular atlases of many and diverse tissues. The high dimensionality, sparsity, and inaccuracy of single cell sequencing measurements, however, can obsc...

Descripción completa

Detalles Bibliográficos
Autores principales: Zandavi, Seid Miad, Koch, Forrest C, Vijayan, Abhishek, Zanini, Fabio, Mora, Fatima Valdes, Ortega, David Gallego, Vafaee, Fatemeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178020/
https://www.ncbi.nlm.nih.gov/pubmed/35639509
http://dx.doi.org/10.1093/nar/gkac436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178020/
https://www.ncbi.nlm.nih.gov/pubmed/35639509
http://dx.doi.org/10.1093/nar/gkac436

Ejemplares similares