Machine learning models for pharmacogenomic variant effect predictions – recent developments and future frontiers-Reference-Cited by-同舟云学术

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Machine learning models for pharmacogenomic variant effect predictions – recent developments and future frontiers

Published:2025-04-13 Issue:5-6 Volume:26 Page:171-182
ISSN:1462-2416
Container-title:Pharmacogenomics
language:en
Short-container-title:Pharmacogenomics

Author:

Tremmel Roman¹²,Honore Antoine³,Park Yoomi⁴⁵,Zhou Yitian⁴,Xiao Ming³,Lauschke Volker M.¹²⁴⁶

Affiliation:

1. Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology

2. University of Tübingen

3. KTH Royal Institute of Technology

4. Karolinska Institutet and University Hospital

5. Seoul National University College of Medicine

6. Central South University

Funder

European Research Council

Cancerfonden

National Research Foundation

Robert Bosch

Innovative Medicines Initiative

Ontario Institute for Cancer Research

McGill University

Kungliga Tekniska Högskolan

Diamond Light Source

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14622416.2025.2504863

Reference124 articles.

1. Pharmacogenomics of GPCR Drug Targets

2. Rare genetic variability in human drug target genes modulates drug response and can guide precision medicine

3. Pharmacogenomics in Solid Tumors: A Comprehensive Review of Genetic Variability and Its Clinical Implications

4. Evaluation of Current Regulation and Guidelines of Pharmacogenomic Drug Labels: Opportunities for Improvements

5. Pharmacogenetics Guidelines: Overview and Comparison of the DPWG, CPIC, CPNDS, and RNPGx Guidelines

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