funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model

Lignende værker

• funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model
  af: Prabina Kumar Meher, et al.
  Udgivet: (2019-01-01)
• HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machine
  af: Meher, Prabina Kumar, et al.
  Udgivet: (2019)
• ir-HSP: Improved Recognition of Heat Shock Proteins, Their Families and Sub-types Based On g-Spaced Di-peptide Features and Support Vector Machine
  af: Meher, Prabina K., et al.
  Udgivet: (2018)
• Prediction of donor splice sites using random forest with a new sequence encoding approach
  af: Meher, Prabina Kumar, et al.
  Udgivet: (2016)
• Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC
  af: Meher, Prabina Kumar, et al.
  Udgivet: (2017)