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BMCBI
2007
101views more  BMCBI 2007»
15 years 7 months ago
Statistical validation of megavariate effects in ASCA
Background: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has succes...
Daniel J. Vis, Johan A. Westerhuis, Age K. Smilde,...
BMCBI
2007
143views more  BMCBI 2007»
15 years 7 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
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BMCBI
2008
173views more  BMCBI 2008»
15 years 7 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
BMCBI
2008
95views more  BMCBI 2008»
15 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
COMCOM
2008
100views more  COMCOM 2008»
15 years 7 months ago
The impact of code allocation on the multiple access interference in WCDMA systems
Code allocation has a significant impact on the performance of Code Division Multiple Access (CDMA) systems. For the uplink direction, in 3G Wideband CDMA (WCDMA) cellular systems...
Thamer Al-Meshhadany, Wessam Ajib
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