title: Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data.
abstract: 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.
authors.affiliation: DSI, Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano, Via Comelico 39, Italy. valentini@dsi.unimi.it
authors.forename: Giorgio
authors.initials: G
authors.lastname: Valentini
mesh_terms: D001185:Artificial Intelligence; D016000:Cluster Analysis; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D014644:Genetic Variation / Q000235:genetics; D008957:Models, Genetic; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D009862:Online Systems; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software