|
0
|
|
TopoMetry systematically learns and evaluates the latent geometry of single-cell data.
(elifesciences.org)
|
Sidarta-Oliveira D
…
Velloso LA
eLife
2026-07-03
|
#transcriptomics
#single-cell
#clustering
#visualization
|
|
0
|
|
MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.
(academic.oup.com)
|
Zhang Z
…
Gao X
Bioinformatics
2026-07-03
|
#transcriptomics
#clustering
#graph-neural-networks
#tissue
|
|
0
|
|
scHashFormer: a hash-driven graph transformer for scalable scRNA-seq clustering.
(academic.oup.com)
|
Lu Z
…
Liang J
Briefings in Bioinformatics
2026-07-03
|
#transcriptomics
#clustering
#single-cell sequencing
#deep learning
|
|
0
|
|
RAG: a regularized adaptive graph-based method for rare-cell identification from single-cell expression data.
(academic.oup.com)
|
Wang X
…
Feng S
Briefings in Bioinformatics
2026-07-03
|
#transcriptomics
#single-cell
#clustering
#cell identification
#graph-based
|
|
0
|
|
UDEC-MO: an uncertainty-guided deep embedded clustering framework for bulk and single-cell multi-omics data.
(academic.oup.com)
|
Li J
…
Tang J
Briefings in Bioinformatics
2026-07-03
|
#multi-omics
#clustering
#single-cell
#deep learning
#cancer
|
|
0
|
|
Annotation-free phenotype prediction using knowledge-augmented clustering from single-cell RNA sequencing data.
(academic.oup.com)
|
Noh J
…
Oh M
Briefings in Bioinformatics
2026-07-03
|
#transcriptomics
#clustering
#phenotype
#machine learning
|