Skip to main content
Ctrl+K

scVAEIT

Introduction

  • Variational autoencoder for multimodal mosaic integration and transfer learning

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

Index

G | L | M | S | T | U | V

G

  • get_denoised_data() (scVAEIT.VAEIT.VAEIT method)
  • get_latent_z() (scVAEIT.VAEIT.VAEIT method)

L

  • load_model() (scVAEIT.VAEIT.VAEIT method)

M

  • module
    • scVAEIT.VAEIT

S

  • save_model() (scVAEIT.VAEIT.VAEIT method)
  • scVAEIT.VAEIT
    • module

T

  • train() (scVAEIT.VAEIT.VAEIT method)

U

  • update_z() (scVAEIT.VAEIT.VAEIT method)

V

  • VAEIT (class in scVAEIT.VAEIT)
  • visualize_latent() (scVAEIT.VAEIT.VAEIT method)

By Jin-Hong Du

© Copyright 2025, Jin-Hong Du.