An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry.
about
Computational mass spectrometry for small moleculesA NEW METHOD OF PEAK DETECTION FOR ANALYSIS OF COMPREHENSIVE TWO-DIMENSIONAL GAS CHROMATOGRAPHY MASS SPECTROMETRY DATAModel-based peak alignment of metabolomic profiling from comprehensive two-dimensional gas chromatography mass spectrometry.Discovery of False Identification Using Similarity Difference in GC-MS based Metabolomics.Untargeted Metabolomics Strategies-Challenges and Emerging Directions.
P2860
An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry.
description
2011 nî lūn-bûn
@nan
2011 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
name
An empirical Bayes model using ...... omatography mass spectrometry.
@ast
An empirical Bayes model using ...... omatography mass spectrometry.
@en
An empirical Bayes model using ...... omatography mass spectrometry.
@nl
type
label
An empirical Bayes model using ...... omatography mass spectrometry.
@ast
An empirical Bayes model using ...... omatography mass spectrometry.
@en
An empirical Bayes model using ...... omatography mass spectrometry.
@nl
prefLabel
An empirical Bayes model using ...... omatography mass spectrometry.
@ast
An empirical Bayes model using ...... omatography mass spectrometry.
@en
An empirical Bayes model using ...... omatography mass spectrometry.
@nl
P2093
P2860
P356
P1433
P1476
An empirical Bayes model using ...... omatography mass spectrometry.
@en
P2093
Changyu Shen
Jaesik Jeong
Seongho Kim
Xiang Zhang
P2860
P2888
P356
10.1186/1471-2105-12-392
P577
2011-10-10T00:00:00Z
P5875
P6179
1037916916