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» Analyzing time series gene expression data
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JCB
2002
70views more  JCB 2002»
13 years 8 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
BMCBI
2005
246views more  BMCBI 2005»
13 years 8 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
BMCBI
2010
139views more  BMCBI 2010»
13 years 9 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
BMCBI
2011
13 years 3 months ago
Sequential Interim Analyses of Survival Data in DNA Microarray Experiments
Background: Discovery of biomarkers that are correlated with therapy response and thus with survival is an important goal of medical research on severe diseases, e.g. cancer. Freq...
Andreas Leha, Tim Beißbarth, Klaus Jung
INFOCOM
2005
IEEE
14 years 2 months ago
Analysis of alternating-priority queueing models with (cross) correlated switchover times
This paper analyzes a single server queueing system in which service is alternated between two queues and the server requires a (finite) switchover time to switch from one queue ...
Robin Groenevelt, Eitan Altman