Dynamic networks reveal key players in aging (Q38479587)

3 September 2017

Dynamic networks reveal key players in aging (English)

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3 September 2017

2

Tijana Milenković

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3 September 2017

Fazle E Faisal

1

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PubMed ID

24554629

3 September 2017

language of work or name

English

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publication date

18 February 2014

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3 September 2017

9

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based on heuristic

inferred from page(s)

published in

Bioinformatics

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3 September 2017

30

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3 September 2017

1721-1729

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3 September 2017

12

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Predicting cancer involvement of genes from heterogeneous data

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Network biology: understanding the cell's functional organization

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Gene expression changes in the course of normal brain aging are sexually dimorphic

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The Human Ageing Genomic Resources: online databases and tools for biogerontologists.

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From disease ontology to disease-ontology lite: statistical methods to adapt a general-purpose ontology for the test of gene-ontology associations

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A more efficient search strategy for aging genes based on connectivity.

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Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging

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Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

21 January 2018

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21 January 2018

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Lethality and centrality in protein networks

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Global topological features of cancer proteins in the human interactome

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1 reference

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Computational systems biology of aging

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1 reference

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GraphCrunch 2: Software tool for network modeling, alignment and clustering

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Importance of replication in microarray gene expression studies: statistical methods and evidence from repetitive cDNA hybridizations

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Gene regulation and DNA damage in the ageing human brain

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GraphCrunch: a tool for large network analyses

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Optimized null model for protein structure networks.

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Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data

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Dominating biological networks

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Human protein reference database as a discovery resource for proteomics

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Protein networks, pleiotropy and the evolution of senescence.

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Biological network comparison using graphlet degree distribution

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Protein-protein interactions: making sense of networks via graph-theoretic modeling

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Network integration meets network dynamics

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An integrated approach to inferring gene-disease associations in humans

21 January 2018

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From evidence to inference: probing the evolution of protein interaction networks

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MitoInteractome: mitochondrial protein interactome database, and its application in 'aging network' analysis

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Analyzing biological network parameters with CentiScaPe

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Protein networks in disease

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Aging cellular networks: chaperones as major participants

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1 reference

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Microarray analysis of the astrocyte transcriptome in the aging brain: relationship to Alzheimer's pathology and APOE genotype.

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1 reference

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A network perspective on metabolism and aging.

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1 reference

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Associating genes and protein complexes with disease via network propagation

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1 reference

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Computational biology for ageing

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1 reference

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Centers of complex networks

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1 reference

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10.1093/BIOINFORMATICS/BTU089

21 January 2018

Identifiers

DOI

1 reference

journals/bioinformatics/FaisalM14

3 September 2017

1 reference

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

PubMed ID

24554629