Author

Tomohiro Ishibashi

Ryukoku University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Akio OnogiiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

1 paper

Recent·Most cited

Applying gradient tree boosting to QTL mapping with Shapley additive explanations

Tomohiro Ishibashi, Akio Onogi

This study applies XGBoost with SHAP to QTL mapping, showing comparable performance to traditional methods for main effects and superior performance for interaction effects.

Ikushugaku zasshi · Jan 1, 2025Peer-reviewedGenetics