
SRTsim – spatial pattern preserving simulations for spatially resolved transcriptomics
Spatially resolved transcriptomics (SRT)-specific computational methods are often developed, tested, validated, and evaluated in silico…
Spatially resolved transcriptomics (SRT)-specific computational methods are often developed, tested, validated, and evaluated in silico…
As a fundamental aspect of normal cell signaling and disease states, there is great interest…
To understand how cells behave, researchers also need to understand the molecules that make them…
Single-cell RNA sequencing has been instrumental in uncovering cellular spatiotemporal context. This task is challenging…
Spatial transcriptomics technologies generate gene expression profiles with spatial context, requiring spatially informed analysis tools…
Single-cell ribonucleic acid (RNA)-sequencing (scRNA-seq) is a powerful tool to study cellular heterogeneity. The high…
Synapses are crucial structures that mediate signal transmission between neurons in complex neural circuits and…
Large compendia of gene expression data have proven valuable for the discovery of novel biological…
Cell-state transition can reveal additional information from single-cell ribonucleic acid (RNA)-sequencing data in time-resolved biological…
Natural sequence variation within mitochondrial DNA (mtDNA) contributes to human phenotypes and may serve as…