Author

Sora Yonezawa

Hiroshima UniversityORCID 0009-0004-1874-3117Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Hidemasa U. BonoiD· 3 shared Hiromasa OnoiD· 1 shared K. YamamotoiD· 1 shared Kazuki NakamaeiD· 1 shared Takayuki SuzukiiD· 1 shared Taro Kakuzaki· 1 shared Yuki NaitoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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3 shared papersBioinformatics

Hidemasa U. BonoORCID

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3 papers

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2026

Functional Annotation of Novel Heat Stress-responsive Genes in Rice Utilizing Public Transcriptomes and Structurome

Sora Yonezawa, Hidemasa U. Bono

The paper functionally annotates heat stress-responsive genes in rice by integrating transcriptome data with structural information from AlphaFold, identifying genes related to metal homeostasis.

1 citation

plant (other)bulk RNA-seq

𝕏 PostBluesky

GenomicsInternational Journal of Molecular SciencesPeer-reviewedFeb 18, 2025

Risk Prediction of RNA Off-Targets of CRISPR Base Editors in Tissue-Specific Transcriptomes Using Language Models

Kazuki Nakamae, Takayuki Suzuki, Sora Yonezawa…·Hidemasa U. Bono

The paper develops PiCTURE and machine learning models to predict RNA off-target effects of CRISPR base editors in tissue-specific transcriptomes, finding higher risks in colon and lungs compared to brain and ovaries.

2 citations

humanCRISPR screen

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Molecular BiologybioRxivPreprintApr 30, 2023

Meta-analysis of heat-stressed transcriptomes using the public gene expression database from human and mouse samples

Sora Yonezawa, Hidemasa U. Bono

The paper performs a meta-analysis of heat-stressed transcriptomes from human and mouse samples to identify common upregulated and downregulated genes.

5 citations

humanmouse

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