• iPPI-PseAAC

  • Referenced in 9 articles [sw27665]
  • used in this predictor is the random forests algorithm. It has been observed...
  • grf

  • Referenced in 8 articles [sw27871]
  • package grf: Generalized Random Forests. A pluggable package for forest-based statistical estimation and inference...
  • iROS-gPseKNC

  • Referenced in 8 articles [sw25363]
  • pseudo nucleotide composition and using the random forest classifier, a new predictor called iROS-gPseKNC...
  • RSARF

  • Referenced in 5 articles [sw22442]
  • solvent accessibility from protein sequence using random forest method. Prediction of protein structure from ... this work, we propose a random forest method, RSARF, to predict residue accessible surface area...
  • MiPred

  • Referenced in 5 articles [sw29580]
  • real and pseudo microRNA precursors using random forest prediction model with combined features. To distinguish ... secondary structure and P-value of randomization test is used ... Besides, a novel machine-learning algorithm, random forest (RF), is introduced. The results suggest that...
  • ilastik

  • Referenced in 7 articles [sw08747]
  • then used to train a Random Forest classifier. In the interactive training mode, ilastik provides...
  • yaImpute

  • Referenced in 6 articles [sw07226]
  • multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele...
  • horserule

  • Referenced in 4 articles [sw27913]
  • additional set of trees from Random Forest, which brings a desirable diversity to the ensemble ... methods like RuleFit, BART and Random Forest on 16 datasets. The model and its interpretation...
  • nsSNPAnalyzer

  • Referenced in 5 articles [sw31126]
  • uses a machine learning method called Random Forest to predict the nsSNP’s phenotypic effect...
  • sprint

  • Referenced in 5 articles [sw08048]
  • papply), permutation testing (pmaxT), bootstrapping (pboot), random forest (prandomForest), rank product (pRP) and hamming distance...
  • CORElearn

  • Referenced in 5 articles [sw10624]
  • induction and models in the leafs, random forests, kNN, naive Bayes, and locally weighted regression...
  • MIForests

  • Referenced in 5 articles [sw22587]
  • random variables are optimized by training random forests and using a fast iterative homotopy method...
  • DPP-PseAAC

  • Referenced in 5 articles [sw24764]
  • After feature extraction, we have employed Random Forest (RF) model to rank the features. Afterwards...
  • VSURF

  • Referenced in 3 articles [sw27884]
  • package VSURF: Variable Selection Using Random Forests. Three steps variable selection procedure based on random...
  • Comet

  • Referenced in 3 articles [sw22899]
  • large-scale data. It builds multiple random forest ensembles on distributed blocks of data ... each decision tree in the random forest. Experiments with two large datasets (5GB and 50GB...
  • BART-BMA

  • Referenced in 3 articles [sw23498]
  • popular for high-dimensional data is random forests, a machine learning algorithm which grows trees ... incorporates elements of both BART and random forests to offer a model-based algorithm which...
  • mirf

  • Referenced in 2 articles [sw26718]
  • Package mirf: Multiple imputation and random forests (MIRF) for unobservable, high-dimensional data. This package ... modelling trait-haplotype associations via the Random Forest algorithm. The EM algorithm is implemented ... haplo.stats package) and the Random Forest algorithm is implemented by the randomForest function ... Foulkes (2007) Multiple imputation and random forests (MIRF) for unobservable high-dimensional data. The International...
  • h2o

  • Referenced in 4 articles [sw17104]
  • generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • data, gradient boosting, decision tree and random forest. Using our proposed model, we show that...
  • ggRandomForests

  • Referenced in 2 articles [sw21143]
  • package ggRandomForests: Visually Exploring Random Forests. Graphic elements for exploring Random Forests using the ’randomForest...