Inference code for "Towards Spatial Transcriptomics-driven Pathology Foundation Models". This repository contains the basic model code as well as instructions to run inference on H&E and spatial ...

Spatially resolved transcriptomics technologies provide high-throughput measurements of gene expression in a tissue slice, but the sparsity of these data complicates analysis of spatial gene ...

In the past Microsoft created many great tools, and one of these tools is Microsoft Expression Studio. Many users are concerned whether these old tools can work on modern operating systems, therefore ...

scBiG is a graph autoencoder network where the encoder based on multi-layer graph convolutional networks extracts high-order representations of cells and genes from the cell-gene bipartite graph, and ...

Image-based cell phenotyping relies on quantitative measurements as encoded representations of cells; however, defining suitable representations that capture complex imaging features is challenged by ...

Single-cell transcriptional and epigenomics profiles have been applied in a variety of tissues and diseases for discovering new cell types, differentiation trajectories, and gene regulatory networks.

Characterizing cell identities and the effects of perturbations through the analysis of expression differences between groups of cells is a crucial challenge for single-cell omics. Conducting such a ...