Statistical and Computational Methods

The adoption of digital pathology has enabled the curation of large repositories of gigapixel whole-slide images (WSIs). WSIs are invaluable for examining cellular morphology and how it changes over embryonic development or disease progression. Many existing methods employ well-trained deep neural networks to extract image features from histology images, and then use these image features [...]

Recent technology advances in spatial transcriptomics (ST) have enabled gene expression profiling while preserving spatial location information in tissues. ST has been applied to study diverse tissues, and these applications have transformed our views of transcriptome complexity. A popular ST technology is based on spatial barcoding followed by next-generation sequencing in which transcriptome-wide gene expression [...]

The advent and rapid development of single-cell technologies have made it possible to study cellular heterogeneity at an unprecedented resolution and scale. Cellular heterogeneity underlies phenotypic differences among individuals, and studying cellular heterogeneity is an important step toward our understanding of the disease molecular mechanism. Single-cell technologies offer opportunities to characterize cellular heterogeneity from different [...]