アブストラクト
| Date | 15:00-16:00 Oct 1, 2026 |
| Speaker | Yoshihiro Taguchi Department of Physics, Chuo University |
| Title | Tensor decomposition-based unsupervised feature extraction applied to bioinformatics and affinity with AI-based methodology |
| Abstract |
We have developed so called tensor decomposition-based unsupervised feature extraction [1] and applied it to a wide range of bioinformatics problems over one decade. After introducing basics and a few applications of it, I report the recent trial on how AI (GPT-6 sol) can replace human efforts, although the fully AI-based study [2] was desk-rejected by two academic journals. [1] Taguchi, Y.-h. (2024). Unsupervised feature extraction applied to bioinformatics: A PCA based and TD based approach (2nd ed.) [2] Implicit Hierarchical Tensor Decomposition of Single-Cell Four-Omics Data Reveals Cell-Type-Associated Enhancer–PromoterRegulatory Programs, Y-H Taguchi, Turki Turki bioRxiv 2026.08.18.745447;
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