Graphery is an interactive tutorial webserver designed to teach fundamental graph concepts using real-world biological network examples. Computational biologists have long used networks, or …

Sep 1, 2021 · Graph representation learning aims to embed graph into a low-dimensional space while preserving graph topology and node properties. It bridges biomedical graphs and …

Sep 28, 2023 · Visualization in bioinformatics is comprehensive, spanning across several domains like Sequence, Genome, Phylogenetic, Macromolecular structure, Microscopy, and …

Jan 17, 2022 · Graph representation learning aims to embed graph into a low-dimensional space while preserving graph topology and node properties. It bridges biomedical graphs and …

Graph representation learning aims to embed graph into a low-dimensional space while preserving graph topology and node properties. It bridges biomedical graphs and modern …

f the biomedical and clinical data that can be utilized to construct and extend KGs. A in-depth overview of the available biomedical data and the lat-est applications of knowledge graphs, …

Nov 20, 2018 · BioGraph implements state-of-the-art technologies and provides pre-compiled bioinformatics scenarios, as well as the possibility to perform custom queries and obtaining an …

Jun 14, 2024 · ggplot2 is a plotting package that makes it simple to create complex plots from data in a data frame. It provides a more programmatic interface for specifying what variables …

In this paper we describe some of the general functions and features that are required for exploring and comparing graphs in bioinformatics. We include a description of a selection of …

Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particularly well in various tasks that process graph structure data. With the rapid accumulation …