Author

Johan OL Andreasson

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biophysics· 1

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:protein structure prediction· 1

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Eterna participantsiD· 1 shared Michelle J WuiD· 1 shared Rhiju DasiD· 1 shared William J Greenleaf· 1 shared Wipapat KladwangiD· 1 shared

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2018-2018 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBiophysics

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1 paper

Recent·Most cited

Prospects for recurrent neural network models to learn RNA biophysics from high-throughput data

Michelle J Wu, Johan OL Andreasson, Wipapat Kladwang, William J Greenleaf, Eterna participants, Rhiju Das

This paper evaluates a recurrent neural network model, Ribonet, for learning RNA biophysics from high-throughput data, showing it can predict RNA interactions and design functional RNAs but requires more diverse datasets for accurate biophysical modeling.

bioRxiv · Jan 31, 2018 · PreprintBiophysics