Publications

Preprints :

Reviews :

1. Matsutani.

がんゲノム研究における変異シグネチャー解析の展開

JSBI Bioinformatics Review (2022).

2. Iuchi*, Matsutani, Yamada, Iwano, Sumi, Hosoda, Zhao, Fukunaga and Hamada*.

Representation learning applications in biological sequence analysis

Computational and Structural Biotechnology Journal (2021).

Research Papers :

1. Matsutani*, and Hamada*.

Clone decomposition based on mutation signatures provides novel insights into mutational processes

NAR Genomics and Bioinformatics (2021). [Pubmed]

2. Matsutani, and Hamada*.

Parallelized Latent Dirichlet Allocation Provides a Novel Interpretability of Mutation Signatures in Cancer Genomes.

Genes (2020). [Pubmed]

3. Matsutani, Ueno, Fukunaga, and Hamada*.

Discovering novel mutation signatures by latent Dirichlet allocation with variational Bayes inference.

Bioinformatics (2019). [Pubmed]

4. Tani, Matsutani, Aoki, Nakamura, Hamaguchi, Nakazato, and Hamada*.

Identification of RNA biomarkers for chemical safety screening in neural cells derived from mouse embryonic stem cells using RNA deep sequencing analysis.

Biochemical and biophysical research communications (2018). [Pubmed]