MIDClass: Microarray Data Classification by Association Rules and Gene Expression Intervals

被引：12
|
作者：
Giugno, Rosalba [1 ]
Pulvirenti, Alfredo [1 ]
Cascione, Luciano [2 ]
Pigola, Giuseppe [1 ]
Ferro, Alfredo [1 ]
机构：
[1] Univ Catania, Dept Clin & Mol Biomed, Catania, Italy
[2] Ohio State Univ, Ctr Comprehens Canc, Dept Mol Virol Immunol & Med Genet, Columbus, OH 43210 USA
来源：
PLOS ONE | 2013年 / 8卷 / 08期
关键词：
CANCER; ESTROGEN; PREDICTION; PROTEIN; CELLS;
D O I：
10.1371/journal.pone.0069873
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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页数：8
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