(Q34527074)

2 August 2017

title

Deep biomarkers of human aging: Application of deep neural networks to biomarker development (English)

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2 August 2017

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10

Alex Zhavoronkov

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2 August 2017

9

Jan Vijg

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2 August 2017

2

Polina Mamoshina

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2 August 2017

4

Mikhail Korzinkin

1 reference

2 August 2017

3

Alexander Aliper

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2 August 2017

5

Alexey Moskalev

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2 August 2017

Evgeny Putin

1

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2 August 2017

Alexey Kolosov

series ordinal

6

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2 August 2017

Alexander Ostrovskiy

series ordinal

7

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2 August 2017

Charles Cantor

series ordinal

8

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2 August 2017

publication date

18 May 2016

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2 August 2017

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2 August 2017

volume

8

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2 August 2017

issue

5

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2 August 2017

page(s)

1021-1033

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Applications of Deep Learning in Biomedicine

2 August 2017

cites work

1 reference

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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7 July 2018

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Distinct metabolomic signatures are associated with longevity in humans

7 July 2018

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7 July 2018

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Detection of a novel, integrative aging process suggests complex physiological integration

7 July 2018

1 reference

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Signaling pathway activation drift during aging: Hutchinson-Gilford Progeria Syndrome fibroblasts are comparable to normal middle-age and old-age cells

7 July 2018

1 reference

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Glycans are a novel biomarker of chronological and biological ages

7 July 2018

1 reference

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DNA methylation age of human tissues and cell types

7 July 2018

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Metabolomic markers reveal novel pathways of ageing and early development in human populations

7 July 2018

1 reference

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White blood cell counts as risk markers of developing metabolic syndrome and its components in the PREDIMED study

7 July 2018

1 reference

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Modeling the rate of senescence: can estimated biological age predict mortality more accurately than chronological age?

7 July 2018

1 reference

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Genome-wide methylation profiles reveal quantitative views of human aging rates

7 July 2018

1 reference

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White blood cells count and incidence of type 2 diabetes in young men.

7 July 2018

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Methods for structuring scientific knowledge from many areas related to aging research

7 July 2018

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Permutation importance: a corrected feature importance measure

7 July 2018

1 reference

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Biochemistry and biomarkers of inflamed patients: why look, what to assess

7 July 2018

1 reference

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Sleep restriction increases white blood cells, mainly neutrophil count, in young healthy men: a pilot study

7 July 2018

1 reference

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Lower serum albumin concentration and change in muscle mass: the Health, Aging and Body Composition Study

7 July 2018

1 reference

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The relationship of white blood cell count to other cardiovascular risk factors

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4931851

Evaluation of the automated haematology analyser Sysmex NE-8000.

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4931851

Identification of blood biomarkers of aging by transcript profiling of whole blood.

7 July 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4931851

Biomarkers for alcohol use and abuse--a summary

27 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4931851

Developing a biological age assessment equation using principal component analysis and clinical biomarkers of aging in Korean men.

27 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=4931851

27 October 2018

Identifiers

DOI

10.18632/AGING.100968

1 reference

2 August 2017

1 reference

2 August 2017

1 reference