Published November 14, 2024 | Version Version2
Dataset Open

scGraph2Vec: a deep generative model for gene embedding augmented by Graph Neural Network and single-cell omics data

  • 1. Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing
  • 2. ROR icon University of Chinese Academy of Sciences

Contributors

  • 1. Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing
  • 2. ROR icon University of Chinese Academy of Sciences

Description

This repository contains the training data and source code to reproduce the results of our paper:
scGraph2Vec: a deep generative model for gene embedding augmented by Graph Neural Network and single-cell omics data

More description can be also found in GitHub (https://github.com/LPH-BIG/scGraph2Vec).

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Additional details

Dates

Updated
2024-11-14