Making sense of OMICS data in population-based environmental health studies.
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Omics for prediction of environmental health effects: Blood leukocyte-based cross-omic profiling reliably predicts diseases associated with tobacco smokingMetabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.The Role of the Epigenome in Translating Neighborhood Disadvantage Into Health Disparities.
P2860
Making sense of OMICS data in population-based environmental health studies.
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2013 nî lūn-bûn
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2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
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2013 թվականի ապրիլին հրատարակված գիտական հոդված
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年學術文章
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name
Making sense of OMICS data in population-based environmental health studies.
@ast
Making sense of OMICS data in population-based environmental health studies.
@en
Making sense of OMICS data in population-based environmental health studies.
@nl
type
label
Making sense of OMICS data in population-based environmental health studies.
@ast
Making sense of OMICS data in population-based environmental health studies.
@en
Making sense of OMICS data in population-based environmental health studies.
@nl
prefLabel
Making sense of OMICS data in population-based environmental health studies.
@ast
Making sense of OMICS data in population-based environmental health studies.
@en
Making sense of OMICS data in population-based environmental health studies.
@nl
P2860
P356
P1476
Making sense of OMICS data in population-based environmental health studies.
@en
P2860
P304
P356
10.1002/EM.21778
P577
2013-04-26T00:00:00Z