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BMCBI
2004
205views more  BMCBI 2004»
14 years 11 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
BMCBI
2005
118views more  BMCBI 2005»
14 years 11 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
CG
2006
Springer
14 years 12 months ago
Realtime automatic selection of good molecular views
The investigation of molecular structures often requires the use of graphics software to display different representations of the molecule of interest. Unfortunately, the commonly...
Pere-Pau Vázquez, Miquel Feixas, Mateu Sber...
DSOM
2007
Springer
15 years 6 months ago
Probabilistic Fault Diagnosis Using Adaptive Probing
Past research on probing-based network monitoring provides solutions based on preplanned probing which is computationally expensive, is less accurate, and involves a large manageme...
Maitreya Natu, Adarshpal S. Sethi
AIMSA
2006
Springer
15 years 3 months ago
N-Gram Feature Selection for Authorship Identification
Automatic authorship identification offers a valuable tool for supporting crime investigation and security. It can be seen as a multi-class, single-label text categorization task. ...
John Houvardas, Efstathios Stamatatos