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» Smooth sensitivity and sampling in private data analysis
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BMCBI
2008
108views more  BMCBI 2008»
13 years 7 months ago
A nonparametric model for quality control of database search results in shotgun proteomics
Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
Jiyang Zhang, Jianqi Li, Xin Liu, Hongwei Xie, Yun...
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
BMCBI
2010
145views more  BMCBI 2010»
13 years 7 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...
BMCBI
2006
126views more  BMCBI 2006»
13 years 7 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
BMCBI
2004
169views more  BMCBI 2004»
13 years 7 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...