Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment.
about
Digital Suicide Prevention: Can Technology Become a Game-changer?Molecular signatures associated with cognitive deficits in schizophrenia: a study of biopsied olfactory neural epithelium.Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model.History of Lifetime suicide attempt in bipolar I disorder: its correlates and effect on illness course.Precision medicine for suicidality: from universality to subtypes and personalization.Gene expression associated with suicide attempts in US veterans.A multi-dimensional characterization of anxiety in monozygotic twin pairs reveals susceptibility loci in humans.Dissecting Suicidality Using a Combined Genomic and Clinical Approach.
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P2860
Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Towards understanding and pred ...... and clinical risk assessment.
@en
type
label
Towards understanding and pred ...... and clinical risk assessment.
@en
prefLabel
Towards understanding and pred ...... and clinical risk assessment.
@en
P2093
P2860
P50
P921
P356
P1433
P1476
Towards understanding and pred ...... and clinical risk assessment.
@en
P2093
A B Niculescu
D L Graham
D R Salomon
E Belanger
E M Niculescu
G E Sandusky
P2860
P2888
P304
P356
10.1038/MP.2016.31
P407
P577
2016-04-05T00:00:00Z