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BMCBI
2008
104views more  BMCBI 2008»
13 years 10 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
BMCBI
2008
129views more  BMCBI 2008»
13 years 10 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
BMCBI
2008
148views more  BMCBI 2008»
13 years 10 months ago
Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements
Background: Liquid chromatography coupled to mass spectrometry (LC-MS) has become a prominent tool for the analysis of complex proteomics and metabolomics samples. In many applica...
Eva Lange, Ralf Tautenhahn, Steffen Neumann, Cleme...
CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 10 months ago
Accelerating Large-scale Data Exploration through Data Diffusion
Data-intensive applications often require exploratory analysis of large datasets. If analysis is performed on distributed resources, data locality can be crucial to high throughpu...
Ioan Raicu, Yong Zhao, Ian T. Foster, Alexander S....
BMCBI
2006
82views more  BMCBI 2006»
13 years 10 months ago
Transcriptomic response to differentiation induction
Background: Microarrays used for gene expression studies yield large amounts of data. The processing of such data typically leads to lists of differentially-regulated genes. A com...
G. W. Patton, Robert M. Stephens, I. A. Sidorov, X...