Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Marc Horlacher

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
Bioinformatics (Oxford, England)|February 5, 2024
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learningJun Wang, Marc Horlacher, Lixin Cheng, et al.
Briefings in Bioinformatics|July 19, 2023
RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologiesJun Wang, Marc Horlacher, Lixin Cheng, et al.
NAR Genomics and Bioinformatics|April 3, 2023
Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibilityMarco Salvatore, Marc Horlacher, Annalisa Marsico, et al.
Briefings in Bioinformatics|August 28, 2023
A systematic benchmark of machine learning methods for protein-RNA interaction predictionMarc Horlacher, Giulia Cantini, Julian Hesse, 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.
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.
Cell|October 5, 2023
SND1 binds SARS-CoV-2 negative-sense RNA and promotes viral RNA synthesis through NSP9Nora Schmidt, Sabina Ganskih, Yuanjie Wei, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|February 5, 2024
DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learningJun Wang, Marc Horlacher, Lixin Cheng, et al.
Briefings in Bioinformatics|July 19, 2023
RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologiesJun Wang, Marc Horlacher, Lixin Cheng, et al.
NAR Genomics and Bioinformatics|April 3, 2023
Transfer learning identifies sequence determinants of cell-type specific regulatory element accessibilityMarco Salvatore, Marc Horlacher, Annalisa Marsico, et al.
Briefings in Bioinformatics|August 28, 2023
A systematic benchmark of machine learning methods for protein-RNA interaction predictionMarc Horlacher, Giulia Cantini, Julian Hesse, 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.
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.
Cell|October 5, 2023
SND1 binds SARS-CoV-2 negative-sense RNA and promotes viral RNA synthesis through NSP9Nora Schmidt, Sabina Ganskih, Yuanjie Wei, et al.
Pageof 1