Author

Hyunha Nam

Nagoya University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:multiome· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Hiroyoshi NishikawaiD· 1 shared Ko AbeiD· 1 shared Kodai MinouraiD· 1 shared Teppei ShimamuraiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Hiroyoshi NishikawaORCID

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1 paper

Recent·Most cited

scMM: Mixture-of-experts multimodal deep generative model for single-cell multiomics data analysis.

Kodai Minoura, Ko Abe, Hyunha Nam, Hiroyoshi Nishikawa, Teppei Shimamura

scMM is a deep generative model that extracts interpretable joint representations and enables cross-modal generation for single-cell multiomics data, improving clustering and data integration.

Cell Reports Methods · Sep 1, 2021Peer-reviewedBioinformatics