Heter-LP is a novel semi-supervised heterogeneous label propagation algorithm.
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Updated
Dec 28, 2022
Heter-LP is a novel semi-supervised heterogeneous label propagation algorithm.
Presentation for Nordic PharmacoEpidemiological Network (https://www.norpen.org/).
A Parkinson's Disease clinical decision support system (cdss) based on the Parkinson's Progression Markers Initiative (PPMI) data.
The RECeSS (Robust Explainable Controllable Standard for drug Screening) project is funded by a Marie Skłodowska-Curie Postdoctoral Fellowship 2022.
Drug Repurposing Datasets for Collaborative Filtering Methods. Notebooks and code to generate datasets for collaborative filtering-based drug repurposing.
Data and analysis scripts used in Predicting resistance of clinical Abl mutations to targeted kinase inhibitors using alchemical free-energy calculations
Results of the manuscript
The datasets used for the Heter-LP and related algorithms.
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
This repository contains code for drug repurposing using various machine learning and deep learning techniques.
[Frontend] A knowledge graph system with graph neural network for drug discovery, disease mechanism and biomarker screening.
Voting-averaged ensemble regression and hybrid neural networks to investigate potent leads against colorectal cancer
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images-with test scripts
A tool for automatic neurite outgrowth and cell viability estimation using deep learning and graph theory.
GenePattern Module which implements the DiSCoVER algorithm
Code for the paper "Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases". Accepted by BMC Medical Informatics and Decision Making, 2021
This is a follow-up effort from work done within Waagmeester et al 2020 eLife and Mayers et al 2022 Bioinformatics
A project to predict new repurposed drugs for dengue using a biomedical knowledge graph and graph neural networks.
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