Contents:

scVAEIT (Variational autoencoder for multimodal single-cell mosaic integration and transfer learning) is a Python module for multi-omic data integration and imputation, designed to handle various data types such as scRNA-seq, scATAC-seq, and proteomics.

Introduction

• Variational autoencoder for multimodal mosaic integration and transfer learning
• References

Main functions

• VAEIT
• Prepare data input
• Parameters

Tutorials (Python)

• Imputation for single modality
• Imputation for two modalities
• Integration of three modalities

Tutorials (R)

• Imputation of scRNA-seq data
• Imputation of peptide abundances