Cargando…
scGREAT: Graph-based regulatory element analysis tool for single-cell multi-omics data
MOTIVATION: With the development in single-cell multi-omics sequencing technology and data integration algorithms, we have entered the single-cell multi-omics era. Current multi-omics analysis algorithms failed to systematically dissect the heterogeneity within the datasets when inferring cis-regula...
Autores principales: | Liu, Chaozhong, Wang, Linhua, Liu, Zhandong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9900895/ https://www.ncbi.nlm.nih.gov/pubmed/36747664 http://dx.doi.org/10.1101/2023.01.27.525916 |
Ejemplares similares
-
Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss
por: Liu, Chaozhong, et al.
Publicado: (2023) -
Correction: Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss
por: Liu, Chaozhong, et al.
Publicado: (2023) -
Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization
por: Wang, Linhua, et al.
Publicado: (2023) -
Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
por: Cao, Zhi-Jie, et al.
Publicado: (2022) -
scMEGA: single-cell multi-omic enhancer-based gene regulatory network inference
por: Li, Zhijian, et al.
Publicado: (2023)