The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

Abstract The Xenium In Situ platform is a new spatial transcriptomics product
commercialized by 10X Genomics capable of mapping hundreds of transcripts in situ at a …

Mapping spatial distributions of transcriptomic cell types is essential to understanding the
brain, with its exceptional cellular heterogeneity and the functional significance of its spatial …

We present a set of interactive visual analysis techniques aiming at explaining data patterns
in multidimensional projections. Our novel techniques include a global value-based …

We present a set of interactive visual analysis techniques aiming at explaining data patterns
in multidimensional projections. Our novel techniques include a global value-based …

In spatial transcriptomics (ST) data, biologically relevant features such as tissue
compartments or cell-state transitions are reflected by gene expression gradients. Here, we …

Spatial transcriptomics (ST) enables profiling the expression of hundreds of genes in tissue
sections, down to the level of single cells in their tissue environment. The gradient structure …

While somatic evolution is widely accepted as fundamental to cancer development,
significant gaps in understanding persist. These gaps concern the role of cellular …