A Python package for pharmacogenomics (PGx) research
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
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.
Introduction to R for Bioinformatics
DWFA consensus algorithm for pb-StarPhase
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
My ITSE bachelor thesis at HPI/DHC
Bio Big Data and Precision Medicine Training Course
Mixed-Effect Models for In Vitro Xenobiotic Metabolism
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