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ISMDA
2005
Springer

Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data

8 years 11 months ago
Relevance, Redundancy and Differential Prioritization in Feature Selection for Multiclass Gene Expression Data
The large number of genes in microarray data makes feature selection techniques more crucial than ever. From various ranking-based filter procedures to classifier-based wrapper techniques, many studies have devised their own flavor of feature selection techniques. Only a handful of the studies delved into the effect of redundancy in the predictor set on classification accuracy, and even fewer on the effect of varying the importance between relevance and redundancy. We present a filter-based feature selection technique which incorporates the three elements of relevance, redundancy and differential prioritization. With the aid of differential prioritization, our feature selection technique is capable of achieving better accuracies than those of previous studies, while using fewer genes in the predictor set. At the same time, the pitfalls of over-optimistic estimates of accuracy are avoided through the use of a more realistic evaluation procedure than the internal leave-one-out-cross-vali...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ISMDA
Authors Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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