Procyk, Jonah
Arizona State University
2 papers on CoChatORCID 0000-0001-9537-3878
Most cited papers
- Verified
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Di Gioacchino, A., Procyk, J., Molari, M., Schreck, J. S., Zhou, Y., Liu, Y., Monasson, R., Cocco, S., & Šulc, P. (2022) · PLOS Computational Biology
Advanced biosensing and bioanalysis techniquesRNA and protein synthesis mechanisms
Cited by 45
- Verified
Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection
Di Gioacchino, A., Procyk, J., Molari, M., Schreck, J. S., Zhou, Y., Liu, Y., Monasson, R., Cocco, S., & Šulc, P. (2022) · PLoS Computational Biology
Advanced biosensing and bioanalysis techniquesRNA and protein synthesis mechanisms
Cited by 45
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