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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

B. Pfeifer, H. Chereda, R. Martin, A. Saranti, S. Clemens, A. Hauschild, T. Beißbarth, A. Holzinger, and D. Heider. Bioinform., (October 2023)

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Anne-Christin Kortüm

Anne-Christin Hüsken

Anne Christin Pieck

Anne-Christin Neitzel

Anne Christin Fischer

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Machine Learning for In Silico Modeling of Tumor Growth.F. Jeanquartier, C. Jean-Quartier, M. Kotlyar, T. Tokár, A. Hauschild, I. Jurisica, and A. Holzinger. Machine Learning for Health Informatics, volume 9605 of Lecture Notes in Computer Science, Springer, (2016)Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning.Y. Ren, T. Chakraborty, S. Doijad, L. Falgenhauer, J. Falgenhauer, A. Goesmann, A. Hauschild, O. Schwengers, and D. Heider. Bioinform., 38 (2): 325-334 (2022)The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond.J. Matschinske, J. Späth, R. Nasirigerdeh, R. Torkzadehmahani, A. Hartebrodt, B. Orbán, S. Fejér, O. Zolotareva, M. Bakhtiari, B. Bihari and 22 other author(s). CoRR, (2021)Ensemble-GNN: Source Code and Data.B. Pfeifer, H. Chereda, R. Martin, A. Saranti, S. Clemens, A. Hauschild, T. Beißbarth, A. Holzinger, and D. Heider. (August 2023)MirDIP 5.2: tissue context annotation and novel microRNA curation.A. Hauschild, C. Pastrello, G. Ekaputeri, D. Bethune-Waddell, M. Abovsky, Z. Ahmed, M. Kotlyar, R. Lu, and I. Jurisica. Nucleic Acids Res., 51 (D1): 217-225 (January 2023)mirDIP 4.1 - integrative database of human microRNA target predictions.T. Tokár, C. Pastrello, A. Rossos, M. Abovsky, A. Hauschild, M. Tsay, R. Lu, and I. Jurisica. Nucleic Acids Res., 46 (Database-Issue): D360-D370 (2018)Species-agnostic transfer learning for cross-species transcriptomics data integration without gene orthology.Y. Park, N. Muttray, and A. Hauschild. Briefings Bioinform., (January 2024)Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.T. Bender, J. Beinecke, D. Krefting, C. Müller, H. Dathe, T. Seidler, N. Spicher, and A. Hauschild. CoRR, (2022)Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data.M. List, A. Hauschild, Q. Tan, T. Kruse, J. Mollenhauer, J. Baumbach, and R. Batra. J. Integr. Bioinform., (2014)LifeStyle-Specific-Islands (LiSSI): Integrated Bioinformatics Platform for Genomic Island Analysis.E. Barbosa, R. Röttger, A. Hauschild, S. de Castro Soares, S. Böcker, V. de Carvalho Azevedo, and J. Baumbach. J. Integr. Bioinform., (2017)

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Disambiguation of "Hauschild, Anne-Christin"

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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

Please choose a person to relate this publication to

Anne-Christin Kortüm

Anne-Christin Hüsken

Anne Christin Pieck

Anne-Christin Neitzel

Anne Christin Fischer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hauschild, Anne-Christin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

Please choose a person to relate this publication to

Anne-Christin Kortüm

Anne-Christin Hüsken

Anne Christin Pieck

Anne-Christin Neitzel

Anne Christin Fischer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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Chicago
DIN 1505
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Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.