Pathology has always been fueled by technological advances. Histology powered the study
of tissue architecture at single-cell resolution and remains a cornerstone of clinical …

Advanced sequencing technologies (ASTs) have revolutionized the quantitation of cancer
driver mutations (CDMs) as rare events, which has utility in clinical oncology, cancer …

Investigating mutations, including single nucleotide variations (SNVs), gene fusions,
alternative splicing and copy number variations (CNVs), is fundamental to cancer study …

Single nucleotide variants (SNVs), as important components of genetic variation, affect gene
expression, function and phenotype. Mining and summarizing the spatial distribution of …

Motivation: By accounting for variants within measured transcripts, it is possible to evaluate
the status of somatic variants using single-cell RNA-sequencing (scRNA-seq) and to …

We performed multi-omic profiling of epidermal keratinocytes, precancerous actinic
keratoses, and squamous cell carcinomas to understand the molecular transitions during …

Recent advances in multi-modal algorithms have driven and been driven by the increasing
availability of large image-text datasets, leading to significant strides in various fields …

Cells in multicellular organisms constitute a self-organizing society by interacting with their
neighbors. Cancer originates from malfunction of cellular behavior in the context of such a …