Oscar Junhong Luo

This study shows that parental intermittent fasting induces intergenerational molecular changes in the brain, affecting sensory pathways and sex-dependent gene expression in offspring.

DECIPHER improves cell-type deconvolution across molecular modalities by combining disentangled representation learning with prototype-based methods, showing robust performance in simulated and real datasets.

MIST is a deep learning framework that integrates single-cell transcriptomic and TCR data to analyze T cell function and antigen specificity, revealing heterogeneity in lung cancer CD8+ T cells and their response to immunotherapy.

The paper shows NAD+ and EVA1-C regulate alternative splicing in tauopathies, affecting protein interactions and disease progression, suggesting therapeutic potential for AD.

This paper introduces CursedForest, a Random Forest implementation that scales to millions of features and outperforms existing methods in speed.

The paper provides multi-genomic maps of the EndoC-βH1 cell model to define gene regulatory programs in human pancreatic β cells and identifies allelic effects on cis-regulatory elements.