"ASURAT: functional annotation-driven unsupervised clustering of ..."

Keita Iida et al. (2022)

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DOI: 10.1093/BIOINFORMATICS/BTAC541

access: open

type: Journal Article

metadata version: 2024-10-06

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Keita Iida, Jumpei Kondo, Johannes Nicolaus Wibisana, Masahiro Inoue, Mariko Okada:
ASURAT: functional annotation-driven unsupervised clustering of single-cell transcriptomes. Bioinform. 38(18): 4330-4336 (2022)

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