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ORCIDMatteo Togninalli
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Books and Theses
- 2020
[b1]Matteo Togninalli:
Exploring the Genotype-Phenotype Relationship Using Big Data and Machine Learning. ETH Zurich, Zürich, Switzerland, 2020
Journal Articles
- 2022
- [j4]Tim Kucera
, Matteo Togninalli, Laetitia Meng-Papaxanthos:
Conditional generative modeling for de novo protein design with hierarchical functions. Bioinform. 38(13): 3454-3461 (2022) - 2020
- [j3]Matteo Togninalli, Ümit Seren, Jan A. Freudenthal, J. Grey Monroe, Dazhe Meng, Magnus Nordborg, Detlef Weigel, Karsten M. Borgwardt, Arthur Korte, Dominik G. Grimm:
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana. Nucleic Acids Res. 48(Database-Issue): D1063-D1068 (2020) - 2018
- [j2]Matteo Togninalli, Damian Roqueiro, COPDGene Investigators, Karsten M. Borgwardt:
Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts. Bioinform. 34(17): i687-i696 (2018) - [j1]Matteo Togninalli, Ümit Seren, Dazhe Meng, Joffrey Fitz, Magnus Nordborg, Detlef Weigel, Karsten M. Borgwardt, Arthur Korte, Dominik G. Grimm:
The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog. Nucleic Acids Res. 46(Database-Issue): D1150-D1156 (2018)
Conference and Workshop Papers
- 2019
- [c3]Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt:
A Wasserstein Subsequence Kernel for Time Series. ICDM 2019: 964-969 - [c2]Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. ICLR (Poster) 2019 - [c1]Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt:
Wasserstein Weisfeiler-Lehman Graph Kernels. NeurIPS 2019: 6436-6446
Informal and Other Publications
- 2019
- [i2]Matteo Togninalli, M. Elisabetta Ghisu, Felipe Llinares-López, Bastian Rieck, Karsten M. Borgwardt:
Wasserstein Weisfeiler-Lehman Graph Kernels. CoRR abs/1906.01277 (2019) - 2018
- [i1]Bastian Rieck, Matteo Togninalli, Christian Bock, Michael Moor, Max Horn, Thomas Gumbsch, Karsten M. Borgwardt:
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology. CoRR abs/1812.09764 (2018)
Coauthor Index
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