Silva, J.C.F.; Ferreira, M.A.; Carvalho, T.F.M.; Silva, F.F.; de A. Silveira, S.; Brommonschenkel, S.H.; Fontes, E.P.B.
RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors. Int. J. Mol. Sci. 2022, 23, 12176.
https://doi.org/10.3390/ijms232012176
AMA Style
Silva JCF, Ferreira MA, Carvalho TFM, Silva FF, de A. Silveira S, Brommonschenkel SH, Fontes EPB.
RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors. International Journal of Molecular Sciences. 2022; 23(20):12176.
https://doi.org/10.3390/ijms232012176
Chicago/Turabian Style
Silva, Jose Cleydson F., Marco Aurélio Ferreira, Thales F. M. Carvalho, Fabyano F. Silva, Sabrina de A. Silveira, Sergio H. Brommonschenkel, and Elizabeth P. B. Fontes.
2022. "RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors" International Journal of Molecular Sciences 23, no. 20: 12176.
https://doi.org/10.3390/ijms232012176
APA Style
Silva, J. C. F., Ferreira, M. A., Carvalho, T. F. M., Silva, F. F., de A. Silveira, S., Brommonschenkel, S. H., & Fontes, E. P. B.
(2022). RLPredictiOme, a Machine Learning-Derived Method for High-Throughput Prediction of Plant Receptor-like Proteins, Reveals Novel Classes of Transmembrane Receptors. International Journal of Molecular Sciences, 23(20), 12176.
https://doi.org/10.3390/ijms232012176