Linh C. Nguyen

Machine learning models to predict in vivo drug response via optimal dimensionality reduction of tumour molecular profiles

The paper uses machine learning to predict drug response in tumour models by reducing molecular profile dimensionality, finding multi-gene predictors outperform single-gene markers in several cancer types.

Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data

The paper compares single-gene and multi-gene predictors of drug sensitivity in cancer cell lines using gene expression data and finds that multi-gene models perform better overall, though single-gene markers have higher precision.