Zhi Gang Yang

The paper identifies eQTLs and regulatory mechanisms in cartilage to uncover potential mechanisms of osteoarthritis pathogenesis.

Insitutype types cells in spatial transcriptomics with a likelihood model over every expression value, admits image and neighbourhood priors, and is reported to cluster millions of cells quickly.

The paper introduces a statistical model-based workflow for quality control and normalization of GeoMx RNA data, outperforming conventional methods in reducing background noise and technical variability.

SpatialDecon quantifies cell populations in spatially-resolved gene expression data, showing spatially heterogeneous immune responses in lung tumors.

HiLDA identifies mutational patterns and their frequencies in cancer data, showing significant associations with mutation timing in colon cancer.