On the sensitivity of feature ranked lists for large-scale biological data

Danuta Gaweł; Krzysztof Fujarewicz

doi:10.3934/mbe.2013.10.667

Article Contents

2013, Volume 10, Issue 3: 667-690. Doi: 10.3934/mbe.2013.10.667

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On the sensitivity of feature ranked lists for large-scale biological data

Danuta Gaweł^1, and
Krzysztof Fujarewicz^1,

1.
Silesian University of Technology, Institute of Automatic Control, Akademicka 16, 44-100 Gliwice

Received: June 2012

Revised: January 2013

Published: April 2013

Abstract / Introduction Related Papers Cited by

Abstract

The problem of feature selection for large-scale genomic data, for example from DNA microarray experiments, is one of the fundamental and well-investigated problems in modern computational biology. From the computational point of view, a selected gene list should be characterized by good predictive power and should be understood and well explained from the biological point of view. Recently, another feature of selected gene lists is increasingly investigated, namely their stability which measures how the content and/or the gene order change when the data are perturbed. In this paper we propose a new approach to analysis of gene list stability, termed the sensitivity index, that does not require any data perturbation and allows the gene list that is most reliable in a biological sense to be chosen.

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Mathematics Subject Classification: 92-08.

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