Open AccessMIDClass: Microarray Data Classification by Association Rules and Gene Expression Intervals
Author(s) -
Rosalba Giugno,
Alfredo Pulvirenti,
Luciano Cascione,
Giuseppe Pigola,
Alfredo Ferro
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0069873
Subject(s) - gene expression profiling , classifier (uml) , linear discriminant analysis , microarray analysis techniques , pattern recognition (psychology) , artificial intelligence , computational biology , microarray , dna microarray , association rule learning , discriminant , gene expression , computer science , data mining , bioinformatics , biology , gene , genetics
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.