Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest

Podobne knjige/članki

• GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors
  od: Bhasin, Manoj, et al.
  Izdano: (2004)
• Using random forests for assistance in the curation of G-protein coupled receptor databases
  od: Shkurin, Aleksei, et al.
  Izdano: (2017)
• Agonists of G‑Protein-Coupled Odorant Receptors Are Predicted from Chemical Features
  od: Bushdid, C., et al.
  Izdano: (2018)
• In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches
  od: Liao, Zhijun, et al.
  Izdano: (2016)
• WDL-RF: predicting bioactivities of ligand molecules acting with G protein-coupled receptors by combining weighted deep learning and random forest
  od: Wu, Jiansheng, et al.
  Izdano: (2018)