ICML Workshop on Computational Biology 2019 2019

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.

SINGLE-CELL MODELING