profsradhakrishnan Goto Github PK

awesome-drug-pair-scoring

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

biodataeu_2018

biodatahack_2018

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?

bionev

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

covid-19

Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19

deepipw

Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nature Machine Intelligence).

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

driadrc

Resources for Drug Repurposing In Alzheimer's Disease (DRIAD) work

drkg

A knowledge graph and a set of tools for drug repurposing

drug-repurposing-graph

Code repository for "Prioritizing Repurposable Drugs for SARS-CoV-2 using Deep Learning and Population-based Validation"

drug-repurposing-in-knime

An Integrative Drug Repurposing Pipeline using KNIME and Programmatic Data Access: A case study on COVID-19 Data

drug_explorer

Interactive & explainable GNN for drug repurposing

drug_repurposing

RepoDB drug repurposing project using a knowledge graph

drugdata

The original data for the drug repurposing project.

drugrepurposing

R scripts to extract details from drugbank.ca detailed drug XML database

drugrepurposingtoolkit

energy-dashboard-tutorials

Data science tutorials using the Energy Dashboard data sets

g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

gget

🧬 gget enables efficient querying of genomic reference databases to support the analysis of sequencing data.

gnpsdocumentation

Documentation for GNPS and related tools as written in mkdocs

graphembedding

Implementation and experiments of graph embedding algorithms.

hetionet

Hetionet: an integrative network of disease

integrating_knowledge_data

Integrating gene expression and biological knowledge for drug discovery and repurposing

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

kge

Some papers on Knowledge Graph Embedding(KGE)

knowledgegraphembedding

l1000-repurposing

Drug repurposing with L1000 data

machine-learning-with-python-ibm

Machine learning with Python IBM Coursera 2020