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The impact of psychopathology, social adversity and stress-relevant DNA methylation on prospective risk for post-traumatic stress: A machine learning approach

Journal of Affective Disorders(2020)10.1016/j.jad.2020.12.076Source: DataRank Database

The impact of psychopathology, social adversity and stress-relevant DNA methylation on prospective risk for post-traumatic stress: A machine learning approach is a research paper published in Journal of Affective Disorders (2020). On theSindex it has a DataRank of 0. It has been cited 41 times.

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Open Access41 citations

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Enrichment:Funding (8 grants)OA: greenTopics (10)IDs (PubMed, PMC)Annotations (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Allison E. Aiello ORCID,Grace S. Kim ORCID,Fei Xue ORCID,Chantel L. Martin ORCID,Andrew Ratanatharathorn ORCID

Live enrichment

PubMed:33601733 PMC:PMC7942200

National Institutes of Health

Grant: R01 MD011728

National Institutes of Health

Grant: R01DA022720

National Institutes of Health

Grant: R00MD012808

National Institutes of Health

Grant: 1U01MH115485

National Institutes of Health

Grant: RC1MH088283

NIMH NIH HHS

Grant: U01 MH115485

NICHD NIH HHS

Grant: P2C HD050924

NIEHS NIH HHS

Grant: P30 ES010126

greenLicense: https://doi.org/10.15223/policy-004

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7942200

publisherhttps://api.elsevier.com/content/article/PII:S0165032720331669?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0165032720331669?httpAccept=text/plain

MeSH Terms

HumansProspective StudiesStress Disorders, Post-TraumaticPsychopathologyDNA MethylationMachine Learning

Keywords

DNA methylationPsychopathologyMachine LearningPtsd

The impact of psychopathology, social adversity and stress-relevant DNA methylation on prospective risk for post-traumatic stress: A machine learning approach

FAIR Checklist

Authors (11)

Funding (8 grants)

Open Access

Topics

Annotations (Europe PMC)