Yidi Deng

The paper identifies seven macrophage subtypes in the human inner ear across development and adulthood using scRNA-seq data, linking them to specific developmental stages and gene expression profiles.

NeighbourNet constructs cell-specific co-expression networks to uncover regulatory patterns in single-cell data, improving efficiency and enabling downstream analysis.

StableMate identifies stable predictors across omics datasets to improve reproducibility and interpretability of biological associations.

Phi-Space continuously phenotypes single-cell multi-omics data by embedding cells in a low-dimensional space defined by reference phenotypes, enabling robust annotation and analysis of transitional and novel cell states.

Sincast projects single cell RNA-seq data onto bulk reference atlases to predict cell identities without batch correction, highlighting new cell states.

The paper integrates hundreds of transcriptome datasets from multiple platforms to create a cross-platform blood cell atlas, enabling robust cell type clustering without batch correction.

The paper analyzes myeloid cells from various sources to identify gaps in in vitro models compared to in vivo biology.