Department of Clinical and Molecular Biomedicine, University of Catania, Catania, Italy.
PLoS One. 2013 Aug 6;8(8):e69873. doi: 10.1371/journal.pone.0069873. Print 2013.
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.
我们提出了一种新的表达谱数据分类方法,称为 MIDClass(基于关联规则的微阵列区间判别分类器)。它利用转录本表达区间在同一类中更好地区分亚型的思想来对表达谱进行分类。广泛的实验分析表明,与最突出的分类方法相比,MIDClass 是有效的。