Author

Taro Matsutani

Waseda UniversityORCID 0000-0001-6170-9927Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Michiaki HamadaiD· 2 shared Hitoshi IuchiiD· 1 shared Keisuke YamadaiD· 1 shared Natsuki IwanoiD· 1 shared Shion HosodaiD· 1 shared Shitao ZhaoiD· 1 shared Shunsuke SumiiD· 1 shared Tsukasa FukunagaiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersBioinformatics

Michiaki HamadaORCID

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2 papers

Recent·Most cited

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedOct 4, 2021

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

Taro Matsutani, Michiaki Hamada

SigTracer improves clone decomposition in tumors by modeling mutation signatures, revealing new insights into mutational processes and their genomic targets.

1 citation

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsComputational and Structural Biotechnology JournalPeer-reviewedJan 1, 2021

Representation learning applications in biological sequence analysis

Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada…·Michiaki Hamada

This paper reviews the application of representation learning in biological sequence analysis, focusing on how embedding techniques transform sequences for functional and structural insights.

83 citations

DNA methylationproteomics

𝕏 PostBluesky