Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study

Juulia Jylhävä; Jani Raitanen; Saara Marttila; Antti Hervonen; Marja Jylhä; Mikko Hurme

doi:10.1186/1755-8794-7-54

Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study

Juulia Jylhävä, Jani Raitanen, Saara Marttila, Antti Hervonen, Marja Jylhä, Mikko Hurme

Department of Clinical Microbiology

Research output: Contribution to journal › Article › Scientific › peer-review

12 Citations (Scopus)

Original language	English
Pages (from-to)	54
Journal	Bmc Medical Genomics
Volume	11
Issue number	54
DOIs	https://doi.org/10.1186/1755-8794-7-54
Publication status	Published - 2014
Publication type	A1 Journal article-refereed

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Publication forum level 1

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10.1186/1755-8794-7-54

Cite this

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title = "Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study",

author = "Juulia Jylh{\"a}v{\"a} and Jani Raitanen and Saara Marttila and Antti Hervonen and Marja Jylh{\"a} and Mikko Hurme",

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T1 - Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study

AU - Jylhävä, Juulia

AU - Raitanen, Jani

AU - Marttila, Saara

AU - Hervonen, Antti

AU - Jylhä, Marja

AU - Hurme, Mikko

PY - 2014

Y1 - 2014

U2 - 10.1186/1755-8794-7-54

DO - 10.1186/1755-8794-7-54

M3 - Article

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SP - 54

IS - 54

ER -