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mRMRe

"Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection"

"Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique with DOI: N De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>."

Functions (29)

adjacencyMatrix

Accessor function for the 'adjacencyMatrix' information in a mRMRe.Network object.

Accessor function for the 'causality' information in a mRMRe.Filter and mRMRe.Network object.

cgps

Part of the large pharmacogenomic dataset published by Garnett et al. within the Cancer Genome Project (CGP)

Function to compute various correlation measures between two variables

export_concordance_index

Export concordance index

export_filters

Export filters

export_filters_bootstrap

Export filters bootstrap

Export mim

featureCount

Accessor function for the 'featureCount' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object.

featureData

Accessor function for the 'featureData' information in a mRMRe.Data object

featureNames

Accessor function for the 'featureNames' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object

get.thread.count

openMP Thread Count

get_thread_count

openMP Thread Count

mRMRe.Data-class

Class "mRMRe.Data"

mRMRe.Filter-class

Class "mRMRe.Filter"

mRMRe.Network-class

Class "mRMRe.Network"

mim

Accessor function for the 'mim' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object

Accessor function for the 'priors' information in a mRMRe.Data object

sampleCount

Accessor function for the 'sampleCount' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object.

sampleNames

Accessor function for the 'sampleNames' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object.

sampleStrata

Accessor function for the 'sampleStrata' information in a mRMRe.Data object

sampleWeights

Accessor function for the 'sampleWeights' information in a mRMRe.Data object

mRMR Scores as per the MI gain for each feature

set.thread.count

openMP Thread Count

set_thread_count

openMP Thread Count

Basic result of the mRMR procedure

Returns a mRMRe.Data object using a subset of the current mRMRe.Data object.

mRMR Target(s)

mRMRe Network display

mRMRe

"Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection"

v2.1.0

Artistic-2.0

Authors

Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains

Initial release

2020-01-08

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