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Among the large number of genes presented in microarray data, only a small fraction of them are effective for performing a certain diagnostic test. However, it is very difficult to identify these genes for disease diagnosis. In this regard, a new supervised gene clustering algorithm is proposed to cluster genes from microarray data. The proposed method directly incorporates the information of response...
The ALICE High Level Trigger comprises a large computing cluster, dedicated interfaces and software applications. It allows on-line event reconstruction of the full data stream of the ALICE experiment at up to 25 GByte/s. The commissioning campaign has passed an important phase since the startup of the Large Hadron Collider in Nov 2009. The system has been transferred into continuous operation with...
The biclustering method is a very useful tool for analyzing gene expression data when some genes have multiple functions and experimental conditions are diverse in gene expression measurement. It focuses on finding a subset of genes and a subset of experimental conditions that together exhibit coherent behavior. A large number of biclustering algorithms has been developed for analyzing gene expression...
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