MIDClass: microarray data classification by association rules and gene expression intervals

Rosalba Giugno; Alfredo Pulvirenti; Luciano Cascione; Giuseppe Pigola; Alfredo Ferro

doi:10.1371/journal.pone.0069873

MIDClass: microarray data classification by association rules and gene expression intervals

PLoS One. 2013 Aug 6;8(8):e69873. doi: 10.1371/journal.pone.0069873. Print 2013.

Authors

Rosalba Giugno¹, Alfredo Pulvirenti, Luciano Cascione, Giuseppe Pigola, Alfredo Ferro

Affiliation

¹ Department of Clinical and Molecular Biomedicine, University of Catania, Catania, Italy. giugno@dmi.unict.it

Abstract

We present a new classification method for expression profiling data, called MIDClass (Microarray Interval Discriminant CLASSifier), based on association rules. It classifies expressions profiles exploiting the idea that the transcript expression intervals better discriminate subtypes in the same class. A wide experimental analysis shows the effectiveness of MIDClass compared to the most prominent classification approaches.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Data Mining
Discriminant Analysis
Gene Expression Profiling / methods*
Genes, Neoplasm / genetics
Humans
Oligonucleotide Array Sequence Analysis / methods*
RNA, Messenger / genetics
RNA, Messenger / metabolism
Statistics as Topic / methods*

Substances

RNA, Messenger

Grants and funding

This work has been partially founded by PO grant - FESR 2007-2013 Linea di intervento 4.1.1.2, CUP G23F11000840004. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.