Author

Shitao Zhao

Waseda UniversityORCID 0000-0002-4280-9647Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Hitoshi IuchiiD· 1 shared Keisuke YamadaiD· 1 shared Michiaki HamadaiD· 1 shared Natsuki IwanoiD· 1 shared Shion HosodaiD· 1 shared Shunsuke SumiiD· 1 shared Taro MatsutaniiD· 1 shared Tsukasa FukunagaiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Hitoshi IuchiORCID

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1 paper

Recent·Most cited

Representation learning applications in biological sequence analysis

Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada, Natsuki Iwano, Shunsuke Sumi, Shion Hosoda, Shitao Zhao, Tsukasa Fukunaga, 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.

Computational and Structural Biotechnology Journal · Jan 1, 2021Peer-reviewedBioinformatics