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» The fuzzy approach to statistical analysis
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RTCSA
2003
IEEE
15 years 4 months ago
Introducing Temporal Analyzability Late in the Lifecycle of Complex Real-Time Systems
Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by c...
Anders Wall, Johan Andersson, Jonas Neander, Chris...
BIOINFORMATICS
2010
170views more  BIOINFORMATICS 2010»
14 years 11 months ago
Joint estimation of DNA copy number from multiple platforms
DNA copy number variants (CNV) are gains and losses of segments of chromosomes, and comprise an important class of genetic variation. Recently, various microarray hybridization ba...
Nancy R. Zhang, Yasin Senbabaoglu, Jun Z. Li
BMCBI
2010
124views more  BMCBI 2010»
14 years 11 months ago
A factor model to analyze heterogeneity in gene expression
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
BMCBI
2007
103views more  BMCBI 2007»
14 years 11 months ago
A comprehensive evaluation of SAM, the SAM R-package and a simple modification to improve its performance
Background: The Significance Analysis of Microarrays (SAM) is a popular method for detecting significantly expressed genes and controlling the false discovery rate (FDR). Recently...
Shunpu Zhang
BMCBI
2005
122views more  BMCBI 2005»
14 years 11 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...