Cargando…
Single-cell multi-omic topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures
The advent of single-cell multi-omics sequencing technology makes it possible for researchers to leverage multiple modalities for individual cells and explore cell heterogeneity. However, the high dimensional, discrete, and sparse nature of the data make the downstream analysis particularly challeng...
Autores principales: | Zhou, Manqi, Zhang, Hao, Baii, Zilong, Mann-Krzisnik, Dylan, Wang, Fei, Li, Yue |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915637/ https://www.ncbi.nlm.nih.gov/pubmed/36778483 http://dx.doi.org/10.1101/2023.01.31.526312 |
Ejemplares similares
-
Single-cell multi-omics topic embedding reveals cell-type-specific and COVID-19 severity-related immune signatures
por: Zhou, Manqi, et al.
Publicado: (2023) -
Extracting electrophysiological correlates of functional magnetic resonance imaging data using the canonical polyadic decomposition
por: Mann‐Krzisnik, Dylan, et al.
Publicado: (2022) -
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data
por: Zhao, Chen, et al.
Publicado: (2023) -
CLCLSA: Cross-omics Linked embedding with Contrastive Learning and Self Attention for multi-omics integration with incomplete multi-omics data
por: Zhao, Chen, et al.
Publicado: (2023) -
Multi-Omic Signatures of Sarcoidosis and Progression in Bronchoalveolar Lavage Cells
por: Konigsberg, Iain R., et al.
Publicado: (2023)