Papers: 10.1186/1471-2105-9-439
https://doi.org/10.1186/1471-2105-9-439
CMA – a comprehensive Bioconductor package for supervised classification with high dimensional data
Cited by: 90
Author(s): Martin Slawski, Martin Däumer, Anne‐Laure Boulesteix
Published: almost 17 years ago
Software Mentions 16
Very Likely Science (93)
Very Likely Science (78)
bioconductor: MLInterfaces
Uniform interfaces to R machine learning procedures for data in Bioconductor containersPapers that mentioned: 10
Very Likely Science (93)
Very Likely Science (83)
cran: corpcor
Efficient Estimation of Covariance and (Partial) CorrelationPapers that mentioned: 24
Very Likely Science (90)
cran: e1071
Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU WienPapers that mentioned: 419
Very Likely Science (85)
Very Likely Science (100)
cran: glmpath
L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards ModelPapers that mentioned: 11
Very Likely Science (85)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASSPapers that mentioned: 2,353
Very Likely Science (100)
cran: mgcv
Mixed GAM Computation Vehicle with Automatic Smoothness EstimationPapers that mentioned: 1,251
Very Likely Science (75)
cran: nnet
Feed-Forward Neural Networks and Multinomial Log-Linear ModelsPapers that mentioned: 296
Very Likely Science (93)
Very Likely Science (85)
cran: randomForest
Breiman and Cutler's Random Forests for Classification and RegressionPapers that mentioned: 1,447
Very Likely Science (100)
Very Likely Science (65)
Very Likely Science (65)
Very Likely Science (100)