Author

Kazuki Furumichi

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Hesheng CheniD· 1 shared Hiroshi KubaiD· 1 shared Kenta Motohara· 1 shared Ryo EgawaiD· 1 shared Ryota Adachi· 1 shared Ryota FukayaiD· 1 shared Satoshi Nomura· 1 shared Teppei ShimamuraiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Hesheng ChenORCID

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2 papers

Recent·Most cited

CRISPR/Cas9-based knockout screening revealed GSK3β as a regulator of axon initial segment structural plasticity

Yixuan Du, Ryo Egawa, Ryota Adachi, Kenta Motohara, Kazuki Furumichi, Ryota Fukaya, Hesheng Chen, Hiroshi Kuba

The paper uses CRISPR/Cas9 knockout screening in chick embryos to identify GSK3β as a regulator of axon initial segment structural plasticity during development.

bioRxiv · Jun 25, 2026 · PreprintNeuroscience

A deep generative model integrating single-cell time-frequency characteristics transformed from electrophysiological data with transcriptomic features

Kazuki Furumichi, Yasuhiro Kojima, Satoshi Nomura, Teppei Shimamura

The paper introduces LincSpectr, a deep generative model that integrates transcriptomic and electrophysiological data to uncover molecular mechanisms underlying time-frequency neural activities.

bioRxiv · Mar 29, 2024 · PreprintBioinformatics