Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low-Similarity Sequences

Lignende værker

• Feature-Weighting and Clustering Random Forest
  af: Zhenyu Liu, et al.
  Udgivet: (2020-12-01)
• Sequence Based Prediction of DNA-Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve Bayes
  af: Lou, Wangchao, et al.
  Udgivet: (2014)
• Using recursive feature elimination in random forest to account for correlated variables in high dimensional data
  af: Darst, Burcu F., et al.
  Udgivet: (2018)
• Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach
  af: Liu, Taigang, et al.
  Udgivet: (2015)
• DNA methylation loci associated with atopy and high serum IgE: a genome-wide application of recursive Random Forest feature selection
  af: Everson, Todd M., et al.
  Udgivet: (2015)