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Single-cell modeling

1 papers with code · Medical

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.


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SISUA: Semi-Supervised Generative Autoencoder for Single Cell Data

ICML Workshop on Computational Biology 2019 2019 trungnt13/sisua

In this study, we propose models based on the Bayesian generative approach, where protein quantification available as CITE-seq counts from the same cells are used to constrain the learning process, thus forming a semi-supervised model.