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BMCBI
2007
127views more  BMCBI 2007»
13 years 9 months ago
Characterization of protein-interaction networks in tumors
Background: Analyzing differential-gene-expression data in the context of protein-interaction networks (PINs) yields information on the functional cellular status. PINs can be for...
Alexander Platzer, Paul Perco, Arno Lukas, Bernd M...
BMCBI
2005
104views more  BMCBI 2005»
13 years 8 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
SSDBM
2008
IEEE
101views Database» more  SSDBM 2008»
14 years 3 months ago
Scalable Ubiquitous Data Access in Clustered Sensor Networks
Wireless sensor networks have drawn much attention due to their ability to monitor ecosystems and wildlife habitats. In such systems, the data should be intelligently collected to ...
Yueh-Hua Lee, Alex Thomo, Kui Wu, Valerie King
AUSAI
2009
Springer
14 years 26 days ago
Ensemble Approach for the Classification of Imbalanced Data
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
ESEM
2007
ACM
14 years 22 days ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...