Author

Satoshi Oota

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2026

AI/ML-Driven Gene Analysis: New Perspectives on Variant Calling in Normal Human Tissue Using scRNA-seq Data.

This chapter introduces a practical protocol that contrasts a conventional variant-calling approach with a modern AI/ML-based method using single-cell RNA sequencing (scRNA-seq) data, and demonstrates that AI-based methods, such as DeepVariant, provide enhanced accuracy and confidence in genotype prediction compared to...

Satoshi Oota · Methods in molecular biology · 0 citations

Open access Aug 2026

Reconstruction of cell diversity and cell lineages from somatic mutations in single-cell transcriptomic data

Real-time course analysis (RTCA), a simple direct phylogenetic signal framework that reconstructs cell lineages from somatic variants detected across cells using variants derived from nuclear-encoded transcripts in scRNA-seq data, offers a scalable, cost-effective solution for reconstructing developmental processes in...

Satoshi Oota, Kuniya Abe, Cheng-Tsung Pan et al. · DNA Research · 0 citations