MetAssign: probabilistic annotation of metabolites from LC-MS data using a Bayesian clustering approach.
about
Bioinformatics: the next frontier of metabolomicsPrediction, Detection, and Validation of Isotope Clusters in Mass Spectrometry DataxMSannotator: An R Package for Network-Based Annotation of High-Resolution Metabolomics Data.From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web-resources for mass spectral plant metabolomicsIncorporating peak grouping information for alignment of multiple liquid chromatography-mass spectrometry datasetsComputational Strategies for Biological Interpretation of Metabolomics Data.Computational Metabolomics: A Framework for the Million Metabolome.Current Trends and Innovations in Bioanalytical Techniques of Metabolomics.Advances in metabolome information retrieval: turning chemistry into biology. Part II: biological information recovery.A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments.Navigating freely-available software tools for metabolomics analysis.Annotation: A Computational Solution for Streamlining Metabolomics Analysis.Significance estimation for large scale metabolomics annotations by spectral matching.MetaNetter 2: A Cytoscape plugin for ab initio network analysis and metabolite feature classification.In-source fragmentation and correlation analysis as tools for metabolite identification exemplified with CE-TOF untargeted metabolomics.Propagating annotations of molecular networks using in silico fragmentation.Two complementary reversed-phase separations for comprehensive coverage of the semipolar and nonpolar metabolome.Bioinformatics Tools for the Interpretation of Metabolomics Data
P2860
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P2860
MetAssign: probabilistic annotation of metabolites from LC-MS data using a Bayesian clustering approach.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
MetAssign: probabilistic annot ...... Bayesian clustering approach.
@ast
MetAssign: probabilistic annot ...... Bayesian clustering approach.
@en
type
label
MetAssign: probabilistic annot ...... Bayesian clustering approach.
@ast
MetAssign: probabilistic annot ...... Bayesian clustering approach.
@en
prefLabel
MetAssign: probabilistic annot ...... Bayesian clustering approach.
@ast
MetAssign: probabilistic annot ...... Bayesian clustering approach.
@en
P2093
P2860
P50
P356
P1433
P1476
MetAssign: probabilistic annot ...... a Bayesian clustering approach
@en
P2093
Andris Jankevics
Rónán Daly
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU370
P407
P577
2014-06-09T00:00:00Z