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scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data

Research article (Machine Learning Science and Technology, 2023) · cited 12× · AI/ML
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scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data

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scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Retrieved May 24, 2026, from https://4ort.xyz/entity/scgmm-vgae-a-gaussian-mixture-model-based-variational-graph-autoencoder-algorithm-for-clustering-single-cell-rna-seq-dat
MLA “scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scgmm-vgae-a-gaussian-mixture-model-based-variational-graph-autoencoder-algorithm-for-clustering-single-cell-rna-seq-dat.
BibTeX @misc{4ortxyz_scgmm-vgae-a-gaussian-mixture-model-based-variational-graph-autoencoder-algorithm-for-clustering-single-cell-rna-seq-dat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data}}, year = {2026}, url = {https://4ort.xyz/entity/scgmm-vgae-a-gaussian-mixture-model-based-variational-graph-autoencoder-algorithm-for-clustering-single-cell-rna-seq-dat}, note = {Accessed: 2026-05-24}}
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