A Python package for pharmacogenomics (PGx) research

PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction

A tool to genotype CYP2D6 with WGS data

Protwis is the backbone of the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).

This repository is the collection point of reference data for the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).

Text mining for pharmacogenomic associations for PharmGKB

💊🧬 PharMe - Pharmaceutical insights tailored to your personal genome

Velodrome combines semi-supervised learning and out-of-distribution generalization (domain generalization) for drug response prediction and pharmacogenomics

A phase-aware pharmacogenomic diplotyper for PacBio datasets

PGxCorpus, a manually annotated corpus, designed for the extraction of pharmacogenomic relations from text.

A clinical decision-support system to identify pharmacogenomics profiles based on subjects genotype of five core genes. The paper has been published in the Journal of Personalized Medicine.

DWFA consensus algorithm for pb-StarPhase

Introduction to R for Bioinformatics

R scripts included in a bioinformatics pipeline for differential PGx analysis of cancer drug response

Analyses for the publication titled "Integrating disease and drug-related phenotypes for improved identification of pharmacogenomic variants"

A lightweight and simple ontology to reconcile and trace knowledge in pharmacogenomics

This is my honors project in Computer Science 2020. It is a simple Python Dash web interface that analyses CYP enzymes variability and their drug interactions using VCF files

Genome-Wide Association Study (GWAS) and Polygenic Risk Score (PRS) Shiny App!

My ITSE bachelor thesis at HPI/DHC