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» Evaluation of clustering algorithms for gene expression data
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EWSN
2008
Springer
16 years 6 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
ICASSP
2009
IEEE
16 years 1 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
16 years 1 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
DAGSTUHL
2007
15 years 8 months ago
Correlation-based Data Representation
The Dagstuhl Seminar Similarity-based Clustering and its Application to Medicine and Biology (07131) held in March 25–30, 2007, provided an excellent atmosphere for in-depth disc...
Marc Strickert, Udo Seiffert
BMCBI
2007
160views more  BMCBI 2007»
15 years 6 months ago
Establishing a major cause of discrepancy in the calibration of Affymetrix GeneChips
Background: Affymetrix GeneChips are a popular platform for performing whole-genome experiments on the transcriptome. There are a range of different calibration steps, and users a...
Andrew P. Harrison, Caroline E. Johnston, Christin...