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Article

Cross-species cell-type assignment of single-cell RNA-seq by a heterogeneous graph neural network

2021-09-26

Abstract excerpt

Cross-species comparative analyses of single-cell RNA sequencing (scRNA-seq) data allow us to explore, at single-cell resolution, the origins of cellular diversity and the evolutionary mechanisms that shape cellular form and function. Here, we aimed to utilize a heterogeneous graph neural network to learn aligned and interpretable cell and gene embeddings for cross-species c ell type a ssignment and gene m odul...

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Literature Corpus work
10414097-f36f-59c3-a8d9-d13112a1b967
DOI
10.1101/2021.09.25.461790
Open publication

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Cross-species cell-type assignment of single-cell RNA-seq by a heterogeneous graph neural networkDOI 10.1101/2021.09.25.461790
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