Annalisa Marsico

According to our database, Annalisa Marsico authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Random Walk Diffusion for Efficient Large-Scale Graph Generation.

Tobias Bernecker, Ghalia Rehawi, Francesco Paolo Casale, Janine Knauer-Arloth, Annalisa Marsico

CoRR, 2024

2023

A systematic benchmark of machine learning methods for protein-RNA interaction prediction.

Marc Horlacher, Giulia Cantini, Julian Hesse, Patrick Schinke, Nicolas Goedert, Shubhankar Londhe, Lambert Moyon, Annalisa Marsico

Briefings Bioinform., September, 2023

2021

Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms.

Roman Schulte-Sasse, Stefan Budach, Denes Hnisz, Annalisa Marsico

Nat. Mach. Intell., 2021

2019

Identifying lncRNA-mediated regulatory modules via ChIA-PET network analysis.

Denise Thiel, Natasa Djurdjevac Conrad, Evgenia Ntini, Ria X. Peschutter, Heike Siebert, Annalisa Marsico

BMC Bioinform., 2019

Graph Convolutional Networks Improve the Prediction of Cancer Driver Genes.

Roman Schulte-Sasse, Stefan Budach, Denes Hnisz, Annalisa Marsico

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

2018

pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks.

Stefan Budach, Annalisa Marsico

Bioinform., 2018

2010

MeMotif: a database of linear motifs in α-helical transmembrane proteins.

Annalisa Marsico, Kerstin Scheubert, Anne Tuukkanen, Andreas Henschel, Christof Winter, Rainer Winnenburg, Michael Schroeder

Nucleic Acids Res., 2010

Structural fragment clustering reveals novel structural and functional motifs in <i>alpha</i>-helical transmembrane proteins.

Annalisa Marsico, Andreas Henschel, Christof Winter, Anne Tuukkanen, Boris Vassilev, Kerstin Scheubert, Michael Schroeder

BMC Bioinform., 2010

2007

A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy.

Annalisa Marsico, Dirk Labudde, K. Tanuj Sapra, Daniel J. Muller, Michael Schroeder

Bioinform., 2007

Understanding of SMFS Barriers by Means of Energy Profiles.

Frank Dressel, Annalisa Marsico, Anne Tuukkanen, Michael Schroeder, Dirk Labudde

Proceedings of the German Conference on Bioinformatics, 2007

2D Visualisation of SMFS Data on Membrane Proteins.

Annalisa Marsico, Kerstin Vanselow, Jing Wang, Dirk Labudde

Proceedings of the Challenges in Conceptual Modelling. Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling, 2007

Pattern Recognition of Single-Molecule Force Spectroscopy Data.

Dirk Labudde, Annalisa Marsico, K. Tanuj Sapra, Michael Schroeder

Proceedings of the Advances in Conceptual Modeling - Foundations and Applications, 2007

2006

A Structure-Based Analysis of Single Molecule Force Spectroscopy (SMFS) Data for Bacteriorhodopsin and Four Mutants.

Annalisa Marsico, K. Tanuj Sapra, Daniel J. Muller, Michael Schroeder, Dirk Labudde

Proceedings of the Computational Life Sciences II, 2006