Marc Horlacher

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Circulating Tumor Cells

Respiratory Syndrome Coronavirus

Top Venues

NAR genomics and bioinformatics

Bioinformatics (Oxford, England)

Briefings in bioinformatics

This page only lists publications with an associated author ORCID identifier.

Publications

Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning. Bioinformatics (Oxford, England) 40 (2) (2024)
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning. Bioinformatics (Oxford, England) 40 (2) (2024)
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning. Bioinformatics (Oxford, England) 40 (2) (2024)
Marco Salvatore, Marc Horlacher, Annalisa Marsico, Ole Winther, Robin Andersson
Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibility. NAR genomics and bioinformatics 5 (2) (2023)
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
A computational map of the human-SARS-CoV-2 protein-RNA interactome predicted at single-nucleotide resolution. NAR genomics and bioinformatics 5 (1) (2023)
Jun Wang, Marc Horlacher, Lixin Cheng, Ole Winther
RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologies. Briefings in bioinformatics (2023)
Marc Horlacher, Nils Wagner, Lambert Moyon, Klara Kuret, Nicolas Goedert, Marco Salvatore, Jernej Ule, Julien Gagneur, Ole Winther, Annalisa Marsico
Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learning. Genome biology 24 (1) (2023)
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
A computational map of the human-SARS-CoV-2 protein-RNA interactome predicted at single-nucleotide resolution. NAR genomics and bioinformatics 5 (1) (2023)