A Python package for pharmacogenomics (PGx) research
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Updated
Apr 20, 2024 - Python
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).
Text mining for pharmacogenomic associations for PharmGKB
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).
💊🧬 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
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.
A phase-aware pharmacogenomic diplotyper for PacBio datasets
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
My ITSE bachelor thesis at HPI/DHC
Bio Big Data and Precision Medicine Training Course
Mixed-Effect Models for In Vitro Xenobiotic Metabolism
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
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