Understanding the characteristics of mass spectrometry data through the use of simulation.
about
MALDI imaging mass spectrometry: statistical data analysis and current computational challengesA novel wavelet-based thresholding method for the pre-processing of mass spectrometry data that accounts for heterogeneous noise.Reversible jump MCMC approach for peak identification for stroke SELDI mass spectrometry using mixture model.Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data.LC-MSsim--a simulation software for liquid chromatography mass spectrometry dataComparison of public peak detection algorithms for MALDI mass spectrometry data analysis.Cross-platform analysis of cancer biomarkers: a Bayesian network approach to incorporating mass spectrometry and microarray data.Comparison of computational algorithms for the classification of liver cancer using SELDI mass spectrometry: a case study.BPDA - a Bayesian peptide detection algorithm for mass spectrometry.Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry dataAutomatic selection of preprocessing methods for improving predictions on mass spectrometry protein profilesProspects for a statistical theory of LC/TOFMS data.Locally Adaptive Bayes Nonparametric Regression via Nested Gaussian Processes.A systematic model of the LC-MS proteomics pipelineBayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry.Image analysis tools and emerging algorithms for expression proteomics.Signal Partitioning Algorithm for Highly Efficient Gaussian Mixture Modeling in Mass Spectrometry.A new peak detection algorithm for MALDI mass spectrometry data based on a modified Asymmetric Pseudo-Voigt model.Identification of a beta-casein-like peptide in breast nipple aspirate fluid that is associated with breast cancer.Review of peak detection algorithms in liquid-chromatography-mass spectrometry.A Bayesian approach to the alignment of mass spectra.Plasma and Serum Metabolite Association Networks: Comparability within and between Studies Using NMR and MS Profiling.Bayesian mass spectra peak alignment from mass charge ratios
P2860
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P2860
Understanding the characteristics of mass spectrometry data through the use of simulation.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Understanding the characterist ...... through the use of simulation.
@ast
Understanding the characterist ...... through the use of simulation.
@en
type
label
Understanding the characterist ...... through the use of simulation.
@ast
Understanding the characterist ...... through the use of simulation.
@en
prefLabel
Understanding the characterist ...... through the use of simulation.
@ast
Understanding the characterist ...... through the use of simulation.
@en
P2093
P2860
P1433
P1476
Understanding the characteristics of mass spectrometry data through the use of simulation
@en
P2093
Jeffrey S Morris
John M Koomen
Keith A Baggerly
Kevin R Coombes
Ryuji Kobayashi
P2860
P577
2005-01-01T00:00:00Z