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BMCBI
2008
99views more  BMCBI 2008»
14 years 11 months ago
Ranking analysis of F-statistics for microarray data
Background: Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, ide...
Yuan-De Tan, Myriam Fornage, Hongyan Xu
SRDS
2008
IEEE
15 years 5 months ago
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Distributed storage systems often use data replication to mask failures and guarantee high data availability. Node failures can be transient or permanent. While the system must ge...
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei ...
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BMCBI
2010
89views more  BMCBI 2010»
14 years 11 months ago
Enhancing metabolomic data analysis with Progressive Consensus Alignment of NMR Spectra (PCANS)
Background: Nuclear magnetic resonance spectroscopy is one of the primary tools in metabolomics analyses, where it is used to track and quantify changes in metabolite concentratio...
Jennifer M. Staab, Thomas M. O'Connell, Shawn M. G...
BMCBI
2010
143views more  BMCBI 2010»
14 years 11 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
FAST
2010
15 years 1 months ago
Understanding Latent Sector Errors and How to Protect Against Them
Latent sector errors (LSEs) refer to the situation where particular sectors on a drive become inaccessible. LSEs are a critical factor in data reliability, since a single LSE can ...
Bianca Schroeder, Sotirios Damouras, Phillipa Gill