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BMCBI
2004
205views more  BMCBI 2004»
14 years 9 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
SEMCO
2008
IEEE
15 years 4 months ago
A Comparative Study of Feature Extraction Algorithms in Customer Reviews
The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate featu...
Liliana Ferreira, Niklas Jakob, Iryna Gurevych
ICDAR
2009
IEEE
15 years 4 months ago
F-ratio Based Weighted Feature Extraction for Similar Shape Character Recognition
Recognition of handwritten similar shaped character is a difficult problem and in character recognition system most of the errors occur from similar shaped characters. In this pap...
Tetsushi Wakabayashi, Umapada Pal, Fumitaka Kimura...
ISNN
2004
Springer
15 years 3 months ago
Progressive Principal Component Analysis
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
Jun Liu, Songcan Chen, Zhi-Hua Zhou
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BMCBI
2010
170views more  BMCBI 2010»
14 years 10 months ago
Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
Charlotte Soneson, Henrik Lilljebjörn, Thoas ...