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Taro Matsutani

Showing results (1-10 of 5) with videos related to

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Genes|September 30, 2020
Parallelized Latent Dirichlet Allocation Provides a Novel Interpretability of Mutation Signatures in Cancer GenomesTaro Matsutani, Michiaki Hamada
NAR Genomics and Bioinformatics|November 4, 2021
Clone decomposition based on mutation signatures provides novel insights into mutational processesTaro Matsutani, Michiaki Hamada
Bioinformatics (Oxford, England)|April 18, 2019
Discovering novel mutation signatures by latent Dirichlet allocation with variational Bayes inferenceTaro Matsutani, Yuki Ueno, Tsukasa Fukunaga, et al.
Biochemical and Biophysical Research Communications|December 1, 2018
Identification of RNA biomarkers for chemical safety screening in neural cells derived from mouse embryonic stem cells using RNA deep sequencing analysisHidenori Tani, Taro Matsutani, Hiroshi Aoki, et al.
Computational and Structural Biotechnology Journal|June 18, 2021
Representation learning applications in biological sequence analysisHitoshi Iuchi, Taro Matsutani, Keisuke Yamada, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Genes|September 30, 2020
Parallelized Latent Dirichlet Allocation Provides a Novel Interpretability of Mutation Signatures in Cancer GenomesTaro Matsutani, Michiaki Hamada
NAR Genomics and Bioinformatics|November 4, 2021
Clone decomposition based on mutation signatures provides novel insights into mutational processesTaro Matsutani, Michiaki Hamada
Bioinformatics (Oxford, England)|April 18, 2019
Discovering novel mutation signatures by latent Dirichlet allocation with variational Bayes inferenceTaro Matsutani, Yuki Ueno, Tsukasa Fukunaga, et al.
Biochemical and Biophysical Research Communications|December 1, 2018
Identification of RNA biomarkers for chemical safety screening in neural cells derived from mouse embryonic stem cells using RNA deep sequencing analysisHidenori Tani, Taro Matsutani, Hiroshi Aoki, et al.
Computational and Structural Biotechnology Journal|June 18, 2021
Representation learning applications in biological sequence analysisHitoshi Iuchi, Taro Matsutani, Keisuke Yamada, et al.
Pageof 1