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Papers: 10.1186/s12859-020-03718-9

https://doi.org/10.1186/s12859-020-03718-9

binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions

Cited by: 2
Author(s): Samir Rachid Zaim, Colleen Kenost, Joanne Berghout, Wesley Chiu, L. Wilson, Hao Helen Zhang, Yves A. Lussier
Published: almost 5 years ago

Software Mentions 5

cran: AUCRF
Variable Selection with Random Forest and the Area Under the Curve
Papers that mentioned: 16
Very Likely Science (75)
cran: BART
Bayesian Additive Regression Trees
Papers that mentioned: 63
Very Likely Science (93)
cran: binomialRF
Binomial Random Forest Feature Selection
Papers that mentioned: 1
Very Likely Science (83)
cran: RAMP
Regularized Generalized Linear Models with Interaction Effects
Papers that mentioned: 56
Very Likely Science (85)
pypi: binomialRF
The binomialRF package is a random forest-based feature selection package that provides a feature selection algorithm to be used in randomForest classifiers.
Papers that mentioned: 1
Very Likely Science (75)