Author

S. Imoto

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Open access Sep 2026

Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics.

Gene regulatory network (GRN) inference is an essential tool for revealing dysregulated relationships between genes in different cell types from single-cell transcriptomic (SCT) data. GRNs based on Bayesian networks (BNs) learned from SCT data can elucidate directed regulatory relationships representing complex disease...

Noriaki Sato, Marco Scutari, S. Imoto · Cell Reports Methods · 0 citations

Open access Jul 2026

A novel multivariate framework for functional gene networks enrichment analysis

Gene network analysis is critically implicated in disease research for uncovering functional modules and interaction-driven pathways underlying biological and disease processes. However, the interpretation of large inferred networks remains challenging. Although functional gene network analysis allows the interpretatio...

Heewon Park, S. Imoto · Frontiers in Genetics · 0 citations