Functional drug response profiling predicts clinical outcomes and shows utility for treatment stratification in AML
Aleksej Drino(Medical University of Vienna), Nikolaus Krall(Austrian Centre of Industrial Biotechnology (Austria)), Ulrich Keller(Humboldt-Universität zu Berlin), Daniel Udvary(BioScientia (Poland)), Armin Zebisch(Medical University of Graz), Artur Speiser(Max Planck Society), Jeffrey A. Boatman(University of Minnesota), P Kovács(Austrian Centre of Industrial Biotechnology (Austria)), Joost Van Ham(BioScientia (Poland)), Heikki Kuusanmäki(University of Helsinki), Mika Kontro(Finnish Cancer Registry), Bekir Ergüner(Austrian Centre of Industrial Biotechnology (Austria)), Tzi‐Yang Lin(Research Institute of Molecular Pathology), Heinz Sill(Medical University of Graz), Stephan Bohl(Humboldt-Universität zu Berlin), Giuseppe Fiume(Austrian Centre of Industrial Biotechnology (Austria)), Rebecca Kirkley(BioScientia (Poland)), Claudia Baumgärtler(Austrian Centre of Industrial Biotechnology (Austria)), Sayantanee Dutta(Medical University of Graz), Sarah Himbert-Baudis(BioScientia (Poland)), Tom Kruitwagen(BioScientia (Poland))
Cited by 0
Related Papers
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
|Science|2013|917
Leveraging Large Language Models for Decision Support in Personalized Oncology
|JAMA Network Open|2023|281
Deep learning enables fast and dense single-molecule localization with high accuracy
|Nature Methods|2021|271
Aurora kinases A and B are up-regulated by Myc and are essential for maintenance of the malignant state
|Blood|2010|248
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data
|PLoS Computational Biology|2018|195