ISMI-VAE: A deep learning model for classifying disease cells using gene expression and SNV data-Reference-Cited by-同舟云学术

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ISMI-VAE: A deep learning model for classifying disease cells using gene expression and SNV data

Published:2024-06 Issue: Volume:175 Page:108485
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Li Han,Zhou Yitao,Zhao Ningyuan,Wang Ying,Lai Yongxuan,Zeng Feng^ORCID,Yang Fan^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Methods and applications for single-cell and spatial multi-omics;Vandereyken;Nat. Rev. Genet.,2023

2. Machine learning for multi-omics data integration in cancer;Cai;Iscience,2022

3. A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data;Li;Genome Biol.,2022

4. Multi-omics data integration by generative adversarial network;Ahmed;Bioinformatics,2022

5. Iterative single-cell multi-omic integration using online learning;Gao;Nat. Biotechnol.,2021

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