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Backbone Model Weights for RNA Contact Prediction by Data Efficient Deep Learning

appsOther research productkeyboard_double_arrow_right Other ORP type 25 Jul 2023Publisher:Zenodo
Authors: Taubert, Oskar; Lehr, Fabrice; Bazarova, Alina; Faber, Christian; Knechtges, Philipp; Weiel, Marie; Debus, Charlotte; +6 Authors

doi: 10.5281/zenodo.8183961 , 10.5281/zenodo.8183962

Backbone Model Weights for RNA Contact Prediction by Data Efficient Deep Learning

Abstract

Model parameters for the pre-trained backbone of the models presented in "RNA Contact Prediction by Data Efficient Deep Learning". More details at https://github.com/oskar-taubert/selbstaufsicht.git

This work is supported by the Helmholtz Association Initiative and Networking Fund under project numbers ZT-I-0003 and ZT-I-PF-5-18, the Helmholtz AI platform, and the HAICORE@KIT grant.

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Keywords

Machine Learning, Contact Prediction, Model Parameters, RNA, Self-supervised Learning

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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