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Delineating the effective use of self-supervised learning in single-cell genomics
Self-supervised learning (SSL) has emerged as a powerful method for extracting meaningful representations from vast, unlabelled datasets, transforming computer vision and natural language processing. …
T Richter, Mojtaba Bahrami, Y Xia, DS Fischer, FJ Theis
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Delineating the effective use of self-supervised learning in single-cell genomics
Deep feature extraction of single-cell transcriptomes by generative adversarial network
Single-cell RNA-sequencing (scRNA-seq) offers the opportunity to dissect heterogeneous cellular compositions and interrogate the cell-type-specific gene expression patterns across diverse conditions. However …
Mojtaba Bahrami, M. Maitra, C. Nagy, G. Turecki, H.R. Rabiee, Y. Li
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Deep feature extraction of single-cell transcriptomes by generative adversarial network