A soft graph clustering framework combining ZINB autoencoding, joint normalized-cut embeddings, and optimal transport outperforms prior methods on ten scRNA-seq benchmarks.
Cell 162(1), 184–197 (2015)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Soft Graph Clustering for single-cell RNA Sequencing Data
A soft graph clustering framework combining ZINB autoencoding, joint normalized-cut embeddings, and optimal transport outperforms prior methods on ten scRNA-seq benchmarks.