IEEE

A Data-Driven Graph Model Approach to Critical Care Patient Clinical Trajectory Prediction

Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...
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 ...
GitHub

ArcticDB: A high performance, serverless DataFrame database

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem. Launched in March 2023, it is the successor to Arctic. Use of ArcticDB in production ...
IEEE

sigRGCN: A Robust Residual Graph Convolutional Network for scRNA-Seq Data Clustering

Abstract: Clustering is a crucial step in single-cell RNA sequencing (scRNA-seq) data analysis, facilitating the discovery of new cell types and the grouping of similar cells. Recently, graph ...