Challenges for the identification of biological systems from in vivo time series data.
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Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome dataanNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data.Inferring the gene network underlying the branching of tomato inflorescence.A simplified method for power-law modelling of metabolic pathways from time-course data and steady-state flux profilesSystem estimation from metabolic time-series data.Biological systems modeling and analysis: a biomolecular technique of the twenty-first century.Recent developments in parameter estimation and structure identification of biochemical and genomic systems.Parameter estimation in tree graph metabolic networks.
P2860
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P2860
Challenges for the identification of biological systems from in vivo time series data.
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
Challenges for the identification of biological systems from in vivo time series data.
@ast
Challenges for the identification of biological systems from in vivo time series data.
@en
type
label
Challenges for the identification of biological systems from in vivo time series data.
@ast
Challenges for the identification of biological systems from in vivo time series data.
@en
prefLabel
Challenges for the identification of biological systems from in vivo time series data.
@ast
Challenges for the identification of biological systems from in vivo time series data.
@en
P2093
P1433
P1476
Challenges for the identification of biological systems from in vivo time series data
@en
P2093
Eberhard O Voit
Raman Lall
Simeone Marino
P577
2005-01-01T00:00:00Z