MIA Multi-omics Integrative Analysis

A machine learning framework for accurate sample clustering and feature discovery from multi-omics data.

start time: 2026-06-25 11:56:46


input parameters:

Input dataset 1: transcriptome.txt
Input dataset 2: DNA_methylation.txt
sample number: 100
feature number: 500
data type number: 2



fuzzy c_means cluster(FCM) algorithm........

parameters: 
fuzzifier m value: 1.5
K: 3


randomForest algorithm........

parameters:

classification parameter: class(K) = 3
the feature number: 500

end time: 2026-06-25 11:56:50


results:

The result of fuzzy c_means cluster(FCM) is in the file:
fuzzy_c_means_cluster_results.txt

The result of feature importance is in the file: 
feature_importance.txt

The raw dataset(s) ordered by important features is in the file: 
transcriptome_orderByImportance.txt
DNA_methylation_orderByImportance.txt

running time: 17.71s