Spatial omics data are advancing the study of tissue organization and cellular communication
at an unprecedented scale. Flexible tools are required to store, integrate and visualize the …

Spatial omics data are advancing the study of tissue organization and cellular communication
at an unprecedented scale. Here, we present Squidpy, a Python framework that brings …

Imaging-based spatial transcriptomics (ST) provides single-transcript-level spatial resolution
for hundreds of genes, unlike sequencing-based ST technologies whose resolution is …

Our bodies consist of a large collection of cells that each have their own function in the
organ that they reside in. The cells are grouped by functionality in cell types that arise during …

Four years after Columbus discovered America, Johann Walter was born in the vi11age of
Kahla in Thuringia. Seventy-four years 1 ater, grown old and tired from years of diligent work …

With the emergence of advanced spatial transcriptomic technologies, there has been a
surge in research papers dedicated to analyzing spatial transcriptomics data, resulting in …

Gaussian processes are widely used for the analysis of spatial data due to their
nonparametric flexibility and ability to quantify uncertainty, and recently developed scalable …

The burial activity of terrestrial bioturbators influences the microtopography, surface roughness,
and physical properties of the soil. By reworking sediments, bioturbators increase soil …

Motivation: Spatially resolved transcriptomics has enabled the study of expression of genes
within tissues while retaining their spatial identity. The lack of single-cell resolution for most …

Aberrant fatty acid (FA) metabolism is a hallmark of proliferating cells, including untransformed
fibroblasts or cancer cells. Lipolysis of intracellular triglyceride (TG) stores by adipose …