Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks

The source code of VAE models and a demo in Jupyter notebook are available at https://github.com/welch-lab/ConvNetVAE.

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Publication Details

Journal
Bioinformatics
Published
2024-12-26
DOI
https://doi.org/10.1093/bioinformatics/btae705
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.70

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article

Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks

Joshua D. Welch, Chao Gao
3 citations
Bioinformatics
Single-cell and spatial transcriptomics
0.70
article

Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks

Joshua D. Welch, Chao Gao
article en
3 citations

Abstract

The source code of VAE models and a demo in Jupyter notebook are available at https://github.com/welch-lab/ConvNetVAE.

BioinformaticsVol. 41(1)
University of Michigan (US)
National Institutes of Health
Openalex Percentile: Top 28%
Single-cell and spatial transcriptomics
0.70
DOIOpen Access PDFOpenAlex
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Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks — Joshua D. Welch, Chao Gao · Bioinformatics (2024) | TGRS Research Map | TGRS