PredGCN: a Pruning-enabled Gene-Cell Net for automatic cell annotation of single cell transcriptome data
Qi Qi,
Yunhe Wang,
Yujian Huang
et al.
Abstract:Motivation
The annotation of cell types from single-cell transcriptomics is essential for understanding the biological identity and functionality of cellular populations. Although manual annotation remains the gold standard, the advent of automatic pipelines has become crucial for scalable, unbiased, and cost-effective annotations. Nonetheless, the effectiveness of these automatic methods, particularly those employing deep learning, significantly depends on the architecture of the classifier … Show more
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