Multi Omics
Showing 5 of 5 projects
A transformer-based foundation model pretrained on millions of single-cell profiles for generative AI tasks in single-cell multi-omics.
A factor analysis framework for unsupervised integration of multi-omics datasets.
An interpretable multi-task deep neural network for single-cell multi-omics integration and cross-modal analysis.
A deep learning model that translates between single-cell multi-omic profiles, such as scATAC-seq and scRNA-seq, using a shared latent representation.
A deep learning model that predicts drug response by fusing multi-omics data with graph convolutional networks.
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