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Single-cell modeling

Single Cell RNA sequencing (scRNAseq) revolutionized our understanding of the fundamental of life sciences. The technology enables an unprecedented resolution to study heterogeneity in cell populations and their functionalities.

Papers

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Showing 1–4 of 4 papers

TitleStatusHype
Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type AnnotationsCode1
Accurate battery lifetime prediction across diverse aging conditions with deep learning—0
The Deep Generative Decoder: MAP estimation of representations improves modeling of single-cell RNA dataCode1
SISUA: Semi-Supervised Generative Autoencoder for Single Cell DataCode0
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