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Matteo Togninalli
Matteo Togninalli
COO @Visium; PhD from ETH Zurich
Verified email at bsse.ethz.ch
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Cited by
Cited by
Year
Wasserstein Weisfeiler-Lehman Graph Kernels
M Togninalli, E Ghisu, F Llinares-Lˇpez, B Rieck, K Borgwardt
Advances in Neural Information Processing Systems 32, 6436--6446, 2019
2002019
Neural persistence: A complexity measure for deep neural networks using algebraic topology
B Rieck, M Togninalli, C Bock, M Moor, M Horn, T Gumbsch, K Borgwardt
International Conference on Learning Representation (ICLR) 2019, 2019
1192019
The AraGWAS Catalog: a curated and standardized Arabidopsis thaliana GWAS catalog
M Togninalli, ▄ Seren, D Meng, J Fitz, M Nordborg, D Weigel, ...
Nucleic acids research 46 (D1), D1150-D1156, 2018
782018
AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana
M Togninalli, ▄ Seren, JA Freudenthal, JG Monroe, D Meng, M Nordborg, ...
Nucleic acids research 48 (D1), D1063-D1068, 2020
592020
Sequence-dependent mechanical, photophysical and electrical properties of pi-conjugated peptide hydrogelators
HAM Ardo˝a, K Besar, M Togninalli, HE Katz, JD Tovar
Journal of Materials Chemistry C 3 (25), 6505-6514, 2015
542015
RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection
K Avican, J Aldahdooh, M Togninalli, AKMF Mahmud, J Tang, ...
Nature Communications 12 (1), 3282, 2021
272021
Pretransplant kinetics of anti-HLA antibodies in patients on the waiting list for kidney transplantation
M Togninalli, D Yoneoka, AGA Kolios, K Borgwardt, J Nilsson
Journal of the American Society of Nephrology: JASN 30 (11), 2262, 2019
132019
A wasserstein subsequence kernel for time series
C Bock, M Togninalli, E Ghisu, T Gumbsch, B Rieck, K Borgwardt
2019 IEEE International Conference on Data Mining (ICDM), 964-969, 2019
112019
Conditional generative modeling for de novo protein design with hierarchical functions
T Kucera, M Togninalli, L Meng-Papaxanthos
Bioinformatics 38 (13), 3454-3461, 2022
82022
Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts
M Togninalli, D Roqueiro, COPDGene Investigators, KM Borgwardt
Bioinformatics 34 (17), i687-i696, 2018
62018
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics
M Togninalli, X Wang, T Kucera, S Shrestha, P Juliana, S Mondal, F Pinto, ...
Bioinformatics 39 (6), btad336, 2023
2023
Conditional Generative Modeling for De Novo Hierarchical Multi-Label Functional Protein Design
T Kucera, KM Borgwardt, M Togninalli, L Papaxanthos
2020
Exploring the Genotype-Phenotype Relationship Using Big Data and Machine Learning
M Togninalli
ETH Zurich, 2020
2020
PRE-TRANSPLANT KINETICS OF ANTI-HLA ANTIBODIES IN PATIENTS ON THE KIDNEY TRANSPLANT WAITING LIST
M Togninalli, D Yoneoka, AGA Kolios, K Borgwardt, J Nilsson
HLA 93 (5), 262-262, 2019
2019
Reference Panels for ARDISS: Reference Panels
D Roqueiro, M Togninalli
2018
Sequence-dependent optoelectronic and mechanical properties of π-conjugated peptide hydrogelators
HAM Ardo˝a, K Besar, M Togninalli, HE Katz, JD Tovar
Fast Imputation of Summary Statistics Based on Local LD Structure
M Togninalli, DS Roquerio, KM Borgwardt
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Articles 1–17