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Annalisa Marsico
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2020 – today
- 2024
- [i1]Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico:
Random Walk Diffusion for Efficient Large-Scale Graph Generation. CoRR abs/2408.04461 (2024) - 2023
- [j7]Marc Horlacher
, Giulia Cantini, Julian Hesse, Patrick Schinke, Nicolas Goedert, Shubhankar Londhe
A systematic benchmark of machine learning methods for protein-RNA interaction prediction. Briefings Bioinform. 24(5) (2023) - 2021
- [j6]Roman Schulte-Sasse
Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms. Nat. Mach. Intell. 3(6): 513-526 (2021)
2010 – 2019
- 2019
- [j5]Denise Thiel
Identifying lncRNA-mediated regulatory modules via ChIA-PET network analysis. BMC Bioinform. 20(1): 292:1-292:16 (2019) - [c5]Roman Schulte-Sasse
Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes. ICANN (Workshop) 2019: 658-668 - 2018
- [j4]Stefan Budach, Annalisa Marsico:
pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks. Bioinform. 34(17): 3035-3037 (2018) - 2010
- [j3]Annalisa Marsico, Andreas Henschel, Christof Winter
Structural fragment clustering reveals novel structural and functional motifs in alpha-helical transmembrane proteins. BMC Bioinform. 11: 204 (2010) - [j2]Annalisa Marsico, Kerstin Scheubert, Anne Tuukkanen, Andreas Henschel, Christof Winter
MeMotif: a database of linear motifs in α-helical transmembrane proteins. Nucleic Acids Res. 38(Database-Issue): 181-189 (2010)
2000 – 2009
- 2007
- [j1]Annalisa Marsico, Dirk Labudde, K. Tanuj Sapra
A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy. Bioinform. 23(2): 231-236 (2007) - [c4]Dirk Labudde, Annalisa Marsico, K. Tanuj Sapra, Michael Schroeder:
Pattern Recognition of Single-Molecule Force Spectroscopy Data. ER Workshops 2007: 3-13 - [c3]Annalisa Marsico, Kerstin Vanselow, Jing Wang, Dirk Labudde:
2D Visualisation of SMFS Data on Membrane Proteins. ER (Tutorials, Posters, Panels & Industrial Contributions) 2007: 79-84 - [c2]Frank Dressel, Annalisa Marsico, Anne Tuukkanen, Michael Schroeder, Dirk Labudde:
Understanding of SMFS Barriers by Means of Energy Profiles. German Conference on Bioinformatics 2007: 90-99 - 2006
- [c1]Annalisa Marsico, K. Tanuj Sapra, Daniel J. Muller, Michael Schroeder, Dirk Labudde:
A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants. CompLife 2006: 162-172
Coauthor Index
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