Modelling short time series in metabolomics: a functional data analysis approach.
about
A weighted relative difference accumulation algorithm for dynamic metabolomics data: long-term elevated bile acids are risk factors for hepatocellular carcinoma.Noise genetics: inferring protein function by correlating phenotype with protein levels and localization in individual human cells.Profiling the effects of short time-course cold ischemia on tumor protein phosphorylation using a Bayesian approach.The Area Between Exchange Curves as a Measure of Conformational Differences in Hydrogen-Deuterium Exchange Mass Spectrometry Studies.How to model temporal changes in nontargeted metabolomics study? A Bayesian multilevel perspective.Conformational Changes in Active and Inactive States of Human PP2Cα Characterized by Hydrogen/Deuterium Exchange-Mass Spectrometry.
P2860
Modelling short time series in metabolomics: a functional data analysis approach.
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Modelling short time series in metabolomics: a functional data analysis approach.
@ast
Modelling short time series in metabolomics: a functional data analysis approach.
@en
type
label
Modelling short time series in metabolomics: a functional data analysis approach.
@ast
Modelling short time series in metabolomics: a functional data analysis approach.
@en
prefLabel
Modelling short time series in metabolomics: a functional data analysis approach.
@ast
Modelling short time series in metabolomics: a functional data analysis approach.
@en
P2093
P1476
Modelling short time series in metabolomics: a functional data analysis approach.
@en
P2093
Giovanni Montana
Maurice Berk
Tim Ebbels
P304
P356
10.1007/978-1-4419-7046-6_31
P407
P50
P577
2011-01-01T00:00:00Z