Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers

The rise of single-cell genomics is an attractive opportunity for data-hungry machine learning algorithms. The scBERT method, inspired by the success of BERT (‘bidirectional encoder representations from transformers’) in natural language processing, was recently introduced by Yang et al. as a data-d...

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