mRMRe
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mRMRe is a package for Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection
I selected features on the same data sets with mRMR packages on R and mrmr_selection on python, and set the same number of n_features, but the results were very different,...
Hi, I have RNA seq data containing over 10K genes and I would like to find the optimal feature fitter the classification model. I am wondering how to find the...
Hello: I have a problem when I used 'mRMR.classic' on my own dataset. I would like to use MRMR feature selection before doing a binary classification. So, my target column...
The vignette specifies to install using `biocLite` which is deprecated. Update to `BiocManager`, which is the replacement package.
I am trying this code on a rather small data created by myself. The data consist of 10 covariates and 100 observations. The first three are correlated among themselves and...
I have been assessing your package for use and comparisons with my own manual calculations. I have hit a point where I cannot understand the logic of the scoring conventions...
I ran mRMR.ensembl in parallel on a number of cores of a machine for several rounds. It seems that it works fine for the first round but after that the...
It seems that mRMR.ensembl has some issue with the indices. I have an input file with 19k features and I use mRMR.ensembl to give me a solution with 100 features...
Hello, I am trying to run your R script `prediction_drug.R` from the supplementary info of your paper De Jay et al. 2013. mRMRe: an R package for parallelized mRMR ensemble...
Hi, As per suggestion in the email reply of Dr. Benjamin Haibe-Kains, I am creating an issue regarding my query. Please excuse if the question is simple as I am...
