Overview of the ZINB-GRAN: Starting with the count matrix from scRNA-seq data as input, ZINB-GRAN first constructs a WGCN from gene expression data. Based on this WGCN, it builds an initial regulatory ...
Researchers have developed an artificial intelligence model that predicts crime more accurately than several existing approaches by combining information about where crimes occur, when they happen and ...
Abstract: Identifying causality from observational time-series data is a key problem in dealing with complex dynamic systems. Inferring the direction of connection between brain regions (i.e., ...
Graph neural network (GNN) autoencoders such as STAGATE and GraphST are the state of the art for spatial domain identification, but their results are surprisingly sensitive to the random seed: ...
Abstract: Breast cancer is a heterogeneous disease consisting of a diverse set of genomic mutations and clinical characteristics. The molecular subtypes of breast cancer are closely tied to prognosis ...
The code has been tested running under Python 3.7.4, with the following packages and their dependencies installed: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results