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Integration of 'omics' data in aging research: from biomarkers to systems biologyExploring the structure and function of temporal networks with dynamic graphletsThe post-genomic era of biological network alignmentComplex systems dynamics in aging: new evidence, continuing questions.Dynamic networks reveal key players in aging.Aging and computational systems biology.Modelling the molecular mechanisms of aging.Human Ageing Genomic Resources: new and updated databases.Simulation of Cellular Energy Restriction in Quiescence (ERiQ)-A Theoretical Model for Aging.Recent Advances in the Systems Biology of Aging.A literature mining-based approach for identification of cellular pathways associated with chemoresistance in cancer.Re-exploring the core genes and modules in the human frontal cortex during chronological aging: insights from network-based analysis of transcriptomic studies
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 31 December 2010
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Computational systems biology of aging.
@en
Computational systems biology of aging.
@nl
type
label
Computational systems biology of aging.
@en
Computational systems biology of aging.
@nl
prefLabel
Computational systems biology of aging.
@en
Computational systems biology of aging.
@nl
P2093
P2860
P356
P1476
Computational systems biology of aging.
@en
P2093
Andres Kriete
Dirk Bohmann
Drew Clearfield
Mark Lechner
P2860
P304
P356
10.1002/WSBM.126
P577
2010-12-31T00:00:00Z