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BMCBI
2008
126views more  BMCBI 2008»
13 years 8 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
BMCBI
2010
177views more  BMCBI 2010»
13 years 8 months ago
Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets
Background: Phylogenetic analysis can be used to divide a protein family into subfamilies in the absence of experimental information. Most phylogenetic analysis methods utilize mu...
Aydin Albayrak, Hasan H. Otu, Ugur O. Sezerman
BMCBI
2007
101views more  BMCBI 2007»
13 years 8 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
2010
134views more  BMCBI 2010»
13 years 8 months ago
Localizing triplet periodicity in DNA and cDNA sequences
Background: The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codon...
Liya Wang, Lincoln D. Stein
BMCBI
2010
165views more  BMCBI 2010»
13 years 8 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...
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