Cite: 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
Paper: https://www.mdpi.com/1422-0067/23/20/12176
pip install pandas
pip install numpy
pip install pymc3
pip install biopython
python RLPredictiOme.py sequence.fasta best_models.txt
input:
Fasta file: sequence.fasta
Txt file: best_models.txt
output:
sequence.fasta_predictions.tsv