GitHub

CCST：Cell clustering for spatial transcriptomics data with graph neural network

Taking advantages of two recent technical development, spatial transcriptomics and graph neural network, we thus introduce CCST, Cell Clustering for Spatial Transcriptomics data with graph neural ...
GitHub

Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network

The inference of cell-cell communication (CCC) is crucial for a better understanding of complex cellular behavior and regulatory mechanisms in biological systems. However, current computational ...
IEEE

Topological Simplifcation of Jacobi Sets for Piecewise-Linear Bivariate 2D Scalar Fields with Adjustment of the Underlying Data

Abstract: Jacobi sets are an important tool to study the relationship between functions. Defined as the set of all points where the function’s gradients are linearly dependent, Jacobi sets extend the ...
IEEE

Graph-Based Horizon Line Detection for UAV Navigation

Abstract: Perceiving the horizon line is a critical alternative for unmanned aerial vehicle (UAV) autonomous navigation, especially in the presence of noise-induced drift, unavailability of satellite ...