Before evaluating cross-context perturbation prediction: know the reproducibility bound
Noise-corrected Perturb-seq correlations clarify what cross-context virtual-cell prediction scores can and cannot show.
Daiki Kumakura
I am a mathematical biologist and a bioinformatics researcher in the pharmaceutical industry. I received my Ph.D. in Life Science from Hokkaido University in March 2025.
I study biological dynamics using mathematical models and data analysis, with an interest in pharmacometrics and systems biology.
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Recent writing
Which experiment enriches the desired cells? A LabCompass inverse-design diagnostic
Twelve LabCompass culture designs distinguish measured target-cell enrichment from uncertainty reduction after model updates.
Telisotuzumab vedotin initial dosing with public PK and exposure-response models
A reproducible PK and exposure–response comparison of fixed and initial lower doses of telisotuzumab vedotin.