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2010
15 years 4 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
BMCBI
2010
96views more  BMCBI 2010»
15 years 1 months ago
sdef: an R package to synthesize lists of significant features in related experiments
Background: In microarray studies researchers are often interested in the comparison of relevant quantities between two or more similar experiments, involving different treatments...
Marta Blangiardo, Alberto Cassese, Sylvia Richards...
BMCBI
2010
91views more  BMCBI 2010»
15 years 1 months ago
Ranked retrieval of Computational Biology models
Background: The study of biological systems demands computational support. If targeting a biological problem, the reuse of existing computational models can save time and effort. ...
Ron Henkel, Lukas Endler, Andre Peters, Nicolas Le...
BMCBI
2007
144views more  BMCBI 2007»
15 years 1 months ago
Robust regression for periodicity detection in non-uniformly sampled time-course gene expression data
Background: In practice many biological time series measurements, including gene microarrays, are conducted at time points that seem to be interesting in the biologist's opin...
Miika Ahdesmäki, Harri Lähdesmäki, ...
PE
2008
Springer
167views Optimization» more  PE 2008»
15 years 1 months ago
Analysis of ratings on trust inference in open environments
Ratings (also known as recommendations) provide an efficient and effective way to build trust relationship in the human society, by making use of the information from others rathe...
Zhengqiang Liang, Weisong Shi