Author

Hanqin Du

Imperial College London

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Pedro J. BallesteriD· 2 shared Chayanit Piyawajanusorn· 1 shared Ghita GhislatiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Pedro J. BallesterORCID

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2 papers

Recent·Most cited

Systematic Evaluation of Transfer Learning Strategies for Clinical Chemotherapy Response Prediction

Hanqin Du, Pedro J. Ballester

This study evaluates transfer learning strategies for predicting chemotherapy response using clinical data, finding that hybrid and fine-tuning approaches perform better than direct model transfer or biomarker-based methods.

bioRxiv · Feb 17, 2026 · PreprintBioinformatics

Predicting temozolomide response in low-grade glioma patients with large-scale machine learning

Hanqin Du, Chayanit Piyawajanusorn, Ghita Ghislat, Pedro J. Ballester

This study uses machine learning on multi-omics data to predict temozolomide response in low-grade glioma patients, finding that miRNA-based models outperform conventional biomarkers.

BMC Methods · Sep 30, 2025Peer-reviewedBioinformatics