MMG: a probabilistic tool to identify submodules of metabolic pathways.
about
A hierarchical semiparametric model for incorporating intergene information for analysis of genomic data.Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.Identifying differentially regulated subnetworks from phosphoproteomic data.Quantitative protein expression and cell surface characteristics of Escherichia coli MG1655 biofilms.Genome-wide discovery of missing genes in biological pathways of prokaryotes.Progeroid syndromes: models for stem cell aging?SANTA: quantifying the functional content of molecular networks.Current trends in high throughput proteomics in cyanobacteria.Algorithms for modeling global and context-specific functional relationship networks.Detecting subnetwork-level dynamic correlations.Mining metabolic pathways through gene expression.A multiple network learning approach to capture system-wide condition-specific responses.A systems biology approach to investigate the response of Synechocystis sp. PCC6803 to a high salt environment.Network-based genomic discovery: application and comparison of Markov random field modelsNetwork enrichment analysis in complex experiments.
P2860
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P2860
MMG: a probabilistic tool to identify submodules of metabolic pathways.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh-hant
name
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@en
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@nl
type
label
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@en
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@nl
prefLabel
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@en
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@nl
P2860
P356
P1433
P1476
MMG: a probabilistic tool to identify submodules of metabolic pathways.
@en
P2093
Guido Sanguinetti
Josselin Noirel
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN066
P407
P577
2008-02-21T00:00:00Z