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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

S. Imoto

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#protein folding Open access Oct 2026

Structured biological evidence enables general-purpose language models to predict bacteriophage–host interactions

This work introduces a structured-evidence inference paradigm that retains heterogeneous biological observations as modular, named, and experimentally perturbable records rather than compressing them before prediction, and establishes structured biological evidence as a portable interface between heterogeneous biologic...

Yao-zhong Zhang, Long-Peng Xu, S. Imoto · 0 citations
Open access Oct 2026

BRD8 deficiency leads to progressive impairment of spermatogenesis in mice.

BRD8, a member of the bromodomain-containing protein family, is a chromatin-associated protein that recognizes acetylated histones and recruits regulatory factors to modulate gene expression. Despite extensive studies of BRD8 in tumor biology, its physiological roles in normal tissues remain largely unknown. Given its...

S. Nakagawa, Manabu Ozawa, Teh-Wei Wang et al. · 0 citations
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 · 0 citations
Open access Jul 2026

A novel multivariate framework for functional gene networks enrichment analysis

This study investigated a novel computational strategy called Multivariate Framework for Functional Gene Network Enrichment Analysis (mFGNA), which enables effective functional pathway discovery in complex gene networks, providing mechanistic insights and potential translational targets in disease contexts.

Heewon Park, S. Imoto · 0 citations

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