Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Artificial Intelligence in Medicine
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
Computational Intelligence Methods for Bioinformatics and Biostatistics
Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses
Artificial Intelligence in Medicine
From cluster ensemble to structure ensemble
Information Sciences: an International Journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Hi-index | 3.84 |
Summary: We present a new R package for the assessment of the reliability of clusters discovered in high-dimensional DNA microarray data. The package implements methods based on random projections that approximately preserve distances between examples in the projected subspaces. Availability: http://homes.dsi.unimi.it/~valenti/SW/clusterv/download/clusterv_1.0.tar.gz Contact: valentini@dsi.unimi.it Supplementary information: http://homes.dsi.unimi.it/~valenti/SW/clusterv