Gaussian process regression model for normalization of LC-MS data using scan-level information.
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The application of Gaussian mixture models for signal quantification in MALDI-TOF mass spectrometry of peptidesLarge-scale untargeted LC-MS metabolomics data correction using between-batch feature alignment and cluster-based within-batch signal intensity drift correction.Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis.Bayesian Normalization Model for Label-Free Quantitative Analysis by LC-MS.
P2860
Gaussian process regression model for normalization of LC-MS data using scan-level information.
description
2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
name
Gaussian process regression mo ...... using scan-level information.
@ast
Gaussian process regression mo ...... using scan-level information.
@en
type
label
Gaussian process regression mo ...... using scan-level information.
@ast
Gaussian process regression mo ...... using scan-level information.
@en
prefLabel
Gaussian process regression mo ...... using scan-level information.
@ast
Gaussian process regression mo ...... using scan-level information.
@en
P2093
P2860
P1433
P1476
Gaussian process regression mo ...... using scan-level information.
@en
P2093
Habtom W Ressom
Mahlet G Tadesse
Mohammad R Nezami Ranjbar
P2860
P2888
P356
10.1186/1477-5956-11-S1-S13
P433
P577
2013-11-07T00:00:00Z
P5875
P6179
1043389110