
iPPIPseAAC
 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 forestbased statistical estimation and inference...

iROSgPseKNC
 Referenced in 8 articles
[sw25363]
 pseudo nucleotide composition and using the random forest classifier, a new predictor called iROSgPseKNC...

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 Pvalue of randomization test is used ... Besides, a novel machinelearning 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...

DPPPseAAC
 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]
 largescale 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...

BARTBMA
 Referenced in 3 articles
[sw23498]
 popular for highdimensional data is random forests, a machine learning algorithm which grows trees ... incorporates elements of both BART and random forests to offer a modelbased algorithm which...

mirf
 Referenced in 2 articles
[sw26718]
 Package mirf: Multiple imputation and random forests (MIRF) for unobservable, highdimensional data. This package ... modelling traithaplotype 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 highdimensional 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...