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[HTML][HTML] Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang, Y Li - Nature communications, 2021 - nature.com
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …
被引用次数：130 相关文章

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y ZHAO - Nature Communications, 2021 - reflexion.hec.ca
Résumé The advent of single-cell RNA sequencing (scRNA-seq) technologies has
revolutionized transcriptomic studies. However, large-scale integrative analysis of scRNA …
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[HTML][HTML] Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang, Y Li - Nature Communications, 2021 - ncbi.nlm.nih.gov
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data.

Y Zhao, H Cai, Z Zhang, J Tang… - Nature …, 2021 - search.ebscohost.com
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …

[引用][C] Publisher Correction: Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang, Y Li - Nature Communications, 2021 - nature.com
Correction to: Nature Communications https://doi. org/10.1038/s41467-021-25534-2,
published online 6 September 2021. In the original PDF version of this Article, there was an …

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang… - Nature …, 2021 - pubmed.ncbi.nlm.nih.gov
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang… - Nature …, 2021 - ui.adsabs.harvard.edu
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang… - Nature …, 2021 - econpapers.repec.org
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang, Y Li - Nature Communications, 2021 - ideas.repec.org
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

Y Zhao, H Cai, Z Zhang, J Tang, Y Li - bioRxiv, 2021 - biorxiv.org
The advent of single-cell RNA sequencing (scRNA-seq) technologies has revolutionized
transcriptomic studies. However, large-scale integrative analysis of scRNA-seq data remains …