Abstract:Single-cell RNA sequencing (scRNA-seq) reveals the heterogeneity and diversity among individual cells and allows researchers conduct cell-wise analysis. Clustering analysis is a fundamental step in analyzing scRNA-seq data which is needed in many downstream tasks. Recently, some deep clustering based methods exhibit very good performance by combining the AutoEncoder reconstruction-based pre-training and the fine-tune clustering. Their common idea is to cluster the samples by the learned features from the bottl… Show more
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