Introduction
This document elaborates step-by-step how we derive our results, shows supplementary figures to support our study
and serves as an open-source pipeline to reproduce our results.
The source code and instructions how to run the benchmark are available from GitHub:
grst/immune_deconvolution_benchmark
Author’s affiliations
- Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Maximus-von-Imhof-Forum 3, 85354 Freising, Germany
- Pieris Pharmaceuticals GmbH, Lise-Meitner-Straße 30, 85354 Freising, Germany
- Biocenter, Division for Bioinformatics, Medical University of Innsbruck, 6020 Innsbruck, Austria
- Cordeliers Research Centre, UMRS_1138, INSERM, University Paris-Descartes, Sorbonne University, 75006 Paris, France
- Ligue Nationale contre le Cancer, Programme Cartes d’Identité des Tumeurs, 75013 Paris, France
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, 4070 Basel, Switzerland
- Big Data in BioMedicine, Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Maximus-von-Imhof-Forum 3, 85354 Freising, Germany
*
corresponding author