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Fast and precise single-cell data analysis using a hierarchical autoencoder

Computer Science

Fast and precise single-cell data analysis using a hierarchical autoencoder

D. Tran, H. Nguyen, et al.

Discover scDHA, an innovative single-cell Decomposition using Hierarchical Autoencoder framework developed by Duc Tran, Hung Nguyen, Bang Tran, Carlo La Vecchia, and Hung N. Luu. This powerful tool enhances scRNA-seq data analysis by effectively filtering noise and projecting significant data into a lower-dimensional space, surpassing existing techniques in visualization and classification.

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