Heather H. Pua

Tissue-aware elastic net decomposition reveals shared and lineage-specific drug response biomarkers

The paper introduces DSEN, a tissue-aware regression method that improves drug response prediction by decomposing models into shared and lineage-specific components, achieving better performance and interpretability.

Widespread data leakage inflates accuracy and corrupts biomarker discovery in cancer drug response prediction

The paper shows that data leakage in drug response prediction models inflates accuracy and corrupts biomarker discovery, and provides a solution to avoid this issue.

A shape-constrained regression and wild bootstrap framework for reproducible drug synergy testing

SIR improves drug synergy testing by using shape-constrained regression and bootstrap methods to provide reliable statistical inference and error control.

RNY1 partitions into extracellular vesicles and ribonucleoprotein particles during airway inflammation to regulate macrophage programming

This study identifies RNY1 as a YRNA that partitions into extracellular vesicles and ribonucleoprotein particles during airway inflammation, influencing macrophage activation through distinct mechanisms.

Th2 cell extracellular vesicles promote eosinophil survival through the cytokine cargo IL-3 and prolong airway eosinophilia.

This study shows Th2 cell extracellular vesicles carry IL-3, which promotes eosinophil survival and prolongs airway eosinophilia during allergic inflammation.

Transcriptome Complexity Disentangled: A Regulatory Molecules Approach

This study identifies a small set of transcription factors and microRNAs that can predict genome-wide gene expression across multiple cancer types with high accuracy.

Epithelial Outgrowth Through Mesenchymal Rings Drives Alveologenesis

The paper observes alveoli formation through epithelial outgrowth and mesenchymal rings in live lung slices, challenging the existing model of airspace subdivision.