Author

Yuya Nagaoka

Institute for Quantitative Biosciences, The University of Tokyo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Che Lin· 1 shared Chien-Yu CheniD· 1 shared Gina Miku ObaiD· 1 shared Junichi Sakatsume· 1 shared Ryuichiro NakatoiD· 1 shared Seohyun LeeiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Che Lin

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1 paper

Recent·Most cited

ChromBERT: Uncovering Chromatin State Motifs in the Human Genome Using a BERT-based Approach

Seohyun Lee, Junichi Sakatsume, Gina Miku Oba, Yuya Nagaoka, Che Lin, Chien-Yu Chen, Ryuichiro Nakato

ChromBERT identifies chromatin state motifs using a BERT-based model pre-trained on human chromatin data, revealing biologically relevant patterns across multiple tasks.

bioRxiv · Jul 25, 2024 · PreprintBioinformatics