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Gene Selection Based on Consistency Modelling, Algorithms and Applications: Genetic Algorithm Application in Bioinformatics Data Analysis - Yingjie Hu

English
2008-04-29
€73.04 €91.30

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Consistency modeling for gene selection is a new topic emerging from recent cancer bioinformatics research. The result of classification or clustering on a training set was often found very different from the same operations on a testing set. Here, the issue is addressed as a consistency problem. In practice, the inconsistency of microarray datasets prevents many typical gene selection methods working prope ... Full description

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Description

Consistency modeling for gene selection is a new topic emerging from recent cancer bioinformatics research. The result of classification or clustering on a training set was often found very different from the same operations on a testing set. Here, the issue is addressed as a consistency problem. In practice, the inconsistency of microarray datasets prevents many typical gene selection methods working properly for cancer diagnosis and prognosis. In an attempt to deal with this problem, a new concept of performance-based consistency is proposed in this thesis. The proposed consistency concept has been investigated on eight benchmark microarray and proteomic datasets. The experimental results show that the different microarray datasets have different consistency characteristics, and that better consistency can lead to an unbiased and reproducible outcome with good disease prediction accuracy.

More Information

Author Yingjie Hu
Publisher VDM Verlag Dr. Müller
Release year 2008
Cover type Softcover
EAN 9783639008838
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€73.04 €91.30