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BMCBI
2010
74views more  BMCBI 2010»
14 years 10 months ago
Correcting for the effects of natural abundance in stable isotope resolved metabolomics experiments involving ultra-high resolut
Background: Stable isotope tracing with ultra-high resolution Fourier transform-ion cyclotron resonance-mass spectrometry (FT-ICR-MS) can provide simultaneous determination of hun...
Hunter N. B. Moseley
BMCBI
2007
194views more  BMCBI 2007»
14 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
BMCBI
2008
107views more  BMCBI 2008»
14 years 10 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
BMCBI
2010
151views more  BMCBI 2010»
14 years 10 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2010
152views more  BMCBI 2010»
14 years 10 months ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto