Groundbreaking TACIT algorithm offers new promise in diagnosing, treating cancer
Scientists at VCU have created a new tool called TACIT that could help doctors better…
Browsing: Spatial Analysis
SpotSweeper – spatially aware quality control for spatial transcriptomics
As scientists explore how genes are expressed in different parts of tissues, they increasingly rely…
SC2Spa – a deep learning based approach to map transcriptome to spatial origins at cellular resolution
Understanding how cells are organized within tissues is crucial to learning how organs function and…
OmiCLIP – a visual–omics foundation model to bridge histopathology with spatial transcriptomics
Researchers are constantly looking for better ways to understand how genes function in the context…
PHOTON – subcellular level spatial transcriptomics
RNA localization—its specific position within subcellular structures like the nucleus, mitochondria, or stress granules—is closely…
SPoTLIghT – integrating histopathology and transcriptomics for spatial tumor microenvironment profiling
Cancer research is increasingly focused on understanding the tumor microenvironment (TME) — the community of…
SELF-Former – multi-scale gene filtration transformer for single-cell spatial reconstruction
Scientists have developed incredible tools to study how genes are expressed in individual cells, giving…
spacedeconv – deconvolution of tissue architecture from spatial transcriptomics
Understanding how tissues function is key to learning about both health and disease. Tissues are…
FICTURE – scalable segmentation-free analysis of submicron-resolution spatial transcriptomics
Spatial transcriptomics (ST) is an exciting area of research that lets scientists study which genes…
METI – deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
In the ever-evolving field of cancer research, scientists are continuously developing new ways to study…