MIDClass: microarray data classification by association rules and gene expression intervals.
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.
Department of Clinical and Molecular Biomedicine, University of Catania, Catania, Italy. giugno@dmi.unict.it
Rosalba
R
Giugno
Alfredo
A
Pulvirenti
Luciano
L
Cascione
Giuseppe
G
Pigola
Alfredo
A
Ferro
D057225:Data Mining; D016002:Discriminant Analysis; D020869:Gene Expression Profiling / Q000379:methods*; D052138:Genes, Neoplasm / Q000235:genetics; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D013223:Statistics as Topic / Q000379:methods*
D012333:RNA, Messenger