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scCompressSA: Dual-channel self-attention based deep autoencoder model for single-cell clustering by compressing static gene-gene interactions

2023-12-01

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<title>Abstract</title> <p>Background: Deep neural networks including auto-encoders have been widely employed to mime cell type specific patterns from single-cell RNA sequencing (scRNA-seq) data. Single cell clustering has played an important role to explore the molecular mechanisms about cell differentiation and human diseases. Due to highly stochastic and noisy data, accurate detection of cell types is still ch...

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Literature Corpus work: ab5d7d69-bc0c-50c5-8761-0358a391a4da
DOI: 10.21203/rs.3.rs-3674838/v1

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