Predictive analytics of environmental adaptability in multi-omic network models.
about
Multiplex methods provide effective integration of multi-omic data in genome-scale models.Making life difficult for Clostridium difficile: augmenting the pathogen's metabolic model with transcriptomic and codon usage data for better therapeutic target characterizationTime-Resolved Transcriptomics and Constraint-Based Modeling Identify System-Level Metabolic Features and Overexpression Targets to Increase Spiramycin Production in Streptomyces ambofaciensDesign Principles of Biological Oscillators through Optimization: Forward and Reverse Analysis.JuPOETs: a constrained multiobjective optimization approach to estimate biochemical model ensembles in the Julia programming language.Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling.Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism.Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism.Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives.
P2860
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P2860
Predictive analytics of environmental adaptability in multi-omic network models.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
@wuu
2015年学术文章
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2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
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2015年學術文章
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name
Predictive analytics of environmental adaptability in multi-omic network models.
@ast
Predictive analytics of environmental adaptability in multi-omic network models.
@en
type
label
Predictive analytics of environmental adaptability in multi-omic network models.
@ast
Predictive analytics of environmental adaptability in multi-omic network models.
@en
prefLabel
Predictive analytics of environmental adaptability in multi-omic network models.
@ast
Predictive analytics of environmental adaptability in multi-omic network models.
@en
P2860
P356
P1433
P1476
Predictive analytics of environmental adaptability in multi-omic network models
@en
P2093
Claudio Angione
Pietro Lió
P2860
P2888
P356
10.1038/SREP15147
P407
P577
2015-10-20T00:00:00Z