Author

Giulia Cantini

Helmholtz MunichORCID 0000-0002-9159-9199Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 3 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1

Frequent Co-Authors

Annalisa MarsicoiD· 3 shared Lambert MoyoniD· 2 shared Marc HorlacheriD· 2 shared Patrick SchinkeiD· 2 shared Ernesto Elorduy VergaraiD· 1 shared Florian Bittner· 1 shared Hui ChengiD· 1 shared Julian Hesse· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Annalisa MarsicoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

miRXplain: explainable isomiR-aware microRNA target prediction using CLIP-L experiments and hybrid attention transformers

Ranjan Kumar Maji, Giulia Cantini, Hui Cheng, Annalisa Marsico, Marcel H. Schulz

miRXplain predicts miRNA-mRNA interactions using CLIP-L data and hybrid attention transformers, outperforming existing models and revealing isomiR-specific targeting mechanisms.

bioRxiv · Feb 12, 2026 · PreprintBioinformatics

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

This study benchmarks 11 machine learning methods for predicting in vivo RBP-RNA interactions across hundreds of CLIP-seq datasets and RBPs.

Briefings in Bioinformatics · Aug 7, 2023Peer-reviewedBioinformatics

Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome

Marc Horlacher, Svitlana Oleshko, Yue Hu, Mahsa Ghanbari, Giulia Cantini, Patrick Schinke, Ernesto Elorduy Vergara, Florian Bittner, Nikola S. Mueller, Uwe Ohler, Lambert Moyon, Annalisa Marsico

The paper maps human RBP-viral RNA interactions for SARS-CoV-2 and related coronaviruses using deep learning, identifies variant impacts, and links RBPs to potential biomarkers.

bioRxiv · Dec 22, 2021 · PreprintBioinformatics