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Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
A collection of important graph embedding, classification and representation learning papers with implementations.
Two-day event hosted on the Genome Campus with an opportunity to creatively and collaboratively address challenges in the sphere of genomes and biodata. The Open Targets challenge is on how can we predict opportunities to repurpose drugs to treat unmet patient need?
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nature Machine Intelligence).
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Resources for Drug Repurposing In Alzheimer's Disease (DRIAD) work
A knowledge graph and a set of tools for drug repurposing
Code repository for "Prioritizing Repurposable Drugs for SARS-CoV-2 using Deep Learning and Population-based Validation"
An Integrative Drug Repurposing Pipeline using KNIME and Programmatic Data Access: A case study on COVID-19 Data
Interactive & explainable GNN for drug repurposing
RepoDB drug repurposing project using a knowledge graph
The original data for the drug repurposing project.
R scripts to extract details from drugbank.ca detailed drug XML database
Data science tutorials using the Energy Dashboard data sets
Graph meta learning via local subgraphs (NeurIPS 2020)
🧬 gget enables efficient querying of genomic reference databases to support the analysis of sequencing data.
Documentation for GNPS and related tools as written in mkdocs
Implementation and experiments of graph embedding algorithms.
Hetionet: an integrative network of disease
Integrating gene expression and biological knowledge for drug discovery and repurposing
Notebooks and code for the book "Introduction to Machine Learning with Python"
Some papers on Knowledge Graph Embedding(KGE)
Drug repurposing with L1000 data
Machine learning with Python IBM Coursera 2020
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.