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.

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.

pose-estimation for pre-clinical drug validation

React frontend for EFKTR

RDKG-115: Assisting drug repurposing and discovery for rare diseases by trimodal knowledge graph embedding

Code associated with "Comprehensive evaluation of collaborative filtering in drug repurposing"

Results of the manuscript

Data and analysis scripts used in Predicting resistance of clinical Abl mutations to targeted kinase inhibitors using alchemical free-energy calculations

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.

Petnički učenički projekti realizovani na letnjem seminaru biomedicine 2019.

Drug Repurposing framed as link prediction problem, solved with Knowledge Graph Embedding (KGE). University project.

Metabolic Drug Repurposing Pipeline

Python and R programs used in the identification of repurposed drugs against viruses responsible for causing epidemics/pandemics

CrossTx: Cross-cell line Transcriptomic Signature Predictions