BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networks

Yutaro Kumagai

doi:10.1371/journal.pcbi.1012480

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Open Access

Peer-reviewed

Research Article

BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networks

Yutaro Kumagai

Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: yutaro.kumagai@aist.go.jp

Affiliation Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology, Higashi, Tsukuba, Ibaraki, Japan

https://orcid.org/0000-0002-5039-3979

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BootCellNet, a resampling-based procedure, promotes unsupervised identification of cell populations via robust inference of gene regulatory networks

Yutaro Kumagai

Published: September 30, 2024
https://doi.org/10.1371/journal.pcbi.1012480
See the preprint

About the Authors

Yutaro Kumagai

Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: yutaro.kumagai@aist.go.jp

Affiliation Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology, Higashi, Tsukuba, Ibaraki, Japan

https://orcid.org/0000-0002-5039-3979

Competing Interests

The authors have declared that no competing interests exist.

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Marker genes
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Gene expression
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Cytotoxic T cells
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Gene ontologies
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Gene regulation
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Genetic networks
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Hematopoiesis
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Transcriptome analysis
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