An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/Aβ1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients.
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Analyzing the genes related to Alzheimer's disease via a network and pathway-based approachPotential fluid biomarkers for pathological brain changes in Alzheimer's disease: Implication for the screening of cognitive frailty.Specific protein biomarker patterns for Alzheimer's disease: improved diagnostics in progress.
P2860
An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/Aβ1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
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2015年學術文章
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2015年學術文章
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name
An Integrated Bioinformatics A ...... Cognitive Impairment Patients.
@en
An Integrated Bioinformatics A ...... Cognitive Impairment Patients.
@nl
type
label
An Integrated Bioinformatics A ...... Cognitive Impairment Patients.
@en
An Integrated Bioinformatics A ...... Cognitive Impairment Patients.
@nl
prefLabel
An Integrated Bioinformatics A ...... Cognitive Impairment Patients.
@en
An Integrated Bioinformatics A ...... Cognitive Impairment Patients.
@nl
P2093
P921
P356
P1476
An Integrated Bioinformatics A ...... Cognitive Impairment Patients
@en
P2093
Alzheimer Disease Neuroimaging Initiative
Anders Bresell
Hugh Salter
Mattias Rantalainen
P304
P356
10.3233/JAD-142118
P577
2015-01-01T00:00:00Z