Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
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Graph-linked unified embedding for single-cell multi-omics data integration
A thin layer of graphic data types
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Schema and generated objects for biolink data model and upper ontology
Graph-based molecule modeling toolkit for cheminformatics
A gallery of animations in statistics and utilities to create animations
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
Astrophotography capture and processing
Learning cell communication from spatial graphs of cells
Graph and Network algorithms in Julia
Layout algorithms for graphs and trees in pure Julia.
An Elixir library for performing 2D and 3D mathematics.
TypeDB Bio: Biomedical Knowledge Graph
The Configurable Math Library
This library generates graph layouts using the TikZ graph layout package.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Graph data structures with multiple heterogeneous metadata for Graphs.jl.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
An Elixir implementation of the CONREC algorithm for topographic or isochrone maps.
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Working with time-dependent networks in Julia