Michelle Tan

DINOcell predicts cellular responses to perturbations using self-distillation in single-cell transcriptomics, outperforming baselines for single and combination gene effects.

This study investigates islet cell dysfunction in type 1 diabetes by integrating electrophysiological, transcriptomic, and machine learning analyses of human islet cells from T1D donors.

The paper identifies molecular signatures of selectively vulnerable neurons in Alzheimer's Disease using single-nucleus RNA sequencing and validates findings with neuropathological methods.

The paper identifies a SARS-CoV-2 N gene polymorphism that reduces RT-PCR assay sensitivity and emphasizes the need for multi-target testing.

This study uses single-cell RNAseq to identify chloride channel roles in airway development, showing their impact on differentiation and disease-like defects.

The paper analyzes aging dynamics across 17 organs and plasma proteomics in mice, revealing consistent gene expression trajectories with organ-specific timing and amplitude.