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BMCBI
2008
98views more  BMCBI 2008»
15 years 2 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
122
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BMCBI
2007
237views more  BMCBI 2007»
15 years 2 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
118
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BMCBI
2007
175views more  BMCBI 2007»
15 years 2 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
94
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BMCBI
2008
133views more  BMCBI 2008»
15 years 2 months ago
LocateP: Genome-scale subcellular-location predictor for bacterial proteins
Background: In the past decades, various protein subcellular-location (SCL) predictors have been developed. Most of these predictors, like TMHMM 2.0, SignalP 3.0, PrediSi and Phob...
Miaomiao Zhou, Jos Boekhorst, Christof Francke, Ro...
133
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BMCBI
2010
193views more  BMCBI 2010»
15 years 2 months ago
caGrid Workflow Toolkit: A Taverna based workflow tool for cancer Grid
Background: In biological and medical domain, the use of web services made the data and computation functionality accessible in a unified manner, which helped automate the data pi...
Wei Tan, Ravi K. Madduri, Aleksandra Nenadic, Stia...
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