Hongru Hu

The paper integrates multiple datasets to create a comprehensive human liver cell atlas, identifying new cell types and associations with demographic factors.

CELLECTION predicts emergent phenotypes from single-cell populations by associating subgroups with different phenotypes across diverse tasks.

This paper introduces a conditional latent diffusion model to separate batch effects from morphological features in zebrafish imaging data, enabling accurate genotype classification.

This study uses single-cell multi-omics data to identify disrupted glial gene regulatory programs in Alzheimer's disease using interpretable machine learning.

sciLaMA integrates gene embeddings from large language models with scRNA-seq data using a paired-VAE architecture, improving downstream tasks like batch correction and clustering while maintaining computational efficiency.

The paper identifies subclass-specific genes associated with electrophysiological features in mouse interneurons and links cell adhesion molecules to schizophrenia risk.

The paper identifies dpr and DIP genes expressed in fru P1 neurons and shows their role in Drosophila reproductive behavior through genetic and single-cell RNA-seq analyses.