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Current Opinion in Structural Biology|July 20, 2026
Machine learning and language models for RNA structure prediction: Progress and perspectivesLambert Moyon, Annalisa MarsicoBriefings in Bioinformatics|August 28, 2023
A systematic benchmark of machine learning methods for protein-RNA interaction predictionMarc Horlacher, Giulia Cantini, Julian Hesse, et al.Iscience|September 10, 2025
Integrative gene and isoform co-expression networks reveal regulatory rewiring in stress-related psychiatric disordersGhalia Rehawi, Jonas Hagenberg, , et al.Frontiers in Genetics|July 29, 2022
Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 InfectionYue Hu, Ghalia Rehawi, Lambert Moyon, et al.Genome Biology|August 4, 2023
Towards in silico CLIP-seq: predicting protein-RNA interaction via sequence-to-signal learningMarc Horlacher, Nils Wagner, Lambert Moyon, et al.Genome Research|May 8, 2024
Combinatorial microRNA activity is essential for the transition of pluripotent cells from proliferation into dormancyDhanur P Iyer, Lambert Moyon, Lars Wittler, et al.NAR Genomics and Bioinformatics|February 23, 2023
A computational map of the human-SARS-CoV-2 protein-RNA interactome predicted at single-nucleotide resolutionMarc Horlacher, Svitlana Oleshko, Yue Hu, et al.Methods in Molecular Biology (Clifton, N.J.)|September 25, 2016
In Silico Promoter Recognition from deepCAGE DataXinyi Yang, Annalisa MarsicoBioinformatics (Oxford, England)|April 17, 2018
pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networksStefan Budach, Annalisa MarsicoJournal of Molecular Cell Biology|June 7, 2019
Functional impacts of non-coding RNA processing on enhancer activity and target gene expressionEvgenia Ntini, Annalisa MarsicoPageof 5