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Hannes L. Röst
Person information
- affiliation: University of Toronto, Canada
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Journal Articles
- 2024
- [j7]Adamo Young, Hannes L. Röst, Bo Wang:
Tandem mass spectrum prediction for small molecules using graph transformers. Nat. Mac. Intell. 6(4): 404-416 (2024) - 2021
- [j6]Felix Hanau, Hannes L. Röst, Idoia Ochoa:
mspack: efficient lossless and lossy mass spectrometry data compression. Bioinform. 37(21): 3923-3925 (2021) - 2017
- [j5]Felipe da Veiga Leprevost, Björn A. Grüning, Saulo Aflitos, Hannes L. Röst, Julian Uszkoreit, Harald Barsnes, Marc Vaudel, Pablo A. Moreno, Laurent Gatto, Jonas Weber, Mingze Bai, Rafael C. Jiménez, Timo Sachsenberg, Julianus Pfeuffer, Roberto Vera Alvarez, Johannes Griss, Alexey I. Nesvizhskii, Yasset Pérez-Riverol:
BioContainers: an open-source and community-driven framework for software standardization. Bioinform. 33(16): 2580-2582 (2017) - 2015
- [j4]Johan Teleman, Hannes L. Röst, George Rosenberger, Uwe Schmitt, Lars Malmström, Johan Malmström, Fredrik Levander:
DIANA - algorithmic improvements for analysis of data-independent acquisition MS data. Bioinform. 31(4): 555-562 (2015) - [j3]Hannes L. Röst, George Rosenberger, Ruedi Aebersold, Lars Malmström:
Efficient visualization of high-throughput targeted proteomics experiments: TAPIR. Bioinform. 31(14): 2415-2417 (2015) - [j2]Lin-Yang Cheng, Yansheng Liu, Ching-Yun Chang, Hannes L. Röst, Ruedi Aebersold, Olga Vitek:
Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition. BMC Bioinform. 16(S-2): A4 (2015) - 2014
- [j1]George Rosenberger, Christina Ludwig, Hannes L. Röst, Ruedi Aebersold, Lars Malmström:
aLFQ: an R-package for estimating absolute protein quantities from label-free LC-MS/MS proteomics data. Bioinform. 30(17): 2511-2513 (2014)
Parts in Books or Collections
- 2016
- [p1]Pedro Navarro, Marco Trevisan-Herraz, Hannes L. Röst:
Chapter 10. Data Analysis for Data Independent Acquisition. Proteome Informatics 2016: 200-228
Informal and Other Publications
- 2024
- [i4]Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Hannes L. Röst, Russ Greiner:
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction. CoRR abs/2404.02360 (2024) - 2021
- [i3]Adamo Young, Bo Wang, Hannes L. Röst:
MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers. CoRR abs/2111.04824 (2021) - 2020
- [i2]Leon L. Xu, Hannes L. Röst:
Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers. CoRR abs/2010.13841 (2020) - 2018
- [i1]Björn A. Grüning, Olivier Sallou, Pablo A. Moreno, Felipe da Veiga Leprevost, Hervé Ménager, Dan Søndergaard, Hannes L. Röst, Timo Sachsenberg, Brian O'Connor, Fábio Madeira, Victoria Dominguez Del Angel, Michael R. Crusoe, Susheel Varma, Daniel J. Blankenberg, Rafael C. Jiménez, Daniel Blankenberg, Yasset Pérez-Riverol:
Recommendations for the packaging and containerizing of bioinformatics software. F1000Research 7: 742 (2018)
Coauthor Index
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