Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
about
Microglial Priming and Alzheimer's Disease: A Possible Role for (Early) Immune Challenges and Epigenetics?Impaired neurodevelopment by the low complexity domain of CPEB4 reveals a convergent pathway with neurodegeneration.Mechanisms and Consequences of Dopamine Depletion-Induced Attenuation of the Spinophilin/Neurofilament Medium Interaction.Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis.Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis.Identification of Differentially Expressed Genes through Integrated Study of Alzheimer's Disease Affected Brain RegionsAging-like changes in the transcriptome of irradiated microgliaIntegrated, Multi-cohort Analysis Identifies Conserved Transcriptional Signatures across Multiple Respiratory VirusesPromotion of mitochondrial biogenesis by necdin protects neurons against mitochondrial insults.Integrated, multicohort analysis of systemic sclerosis identifies robust transcriptional signature of disease severity.EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY.Methods to increase reproducibility in differential gene expression via meta-analysis.Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.Generalizable Biomarkers in Critical Care: Toward Precision Medicine.Meta-analysis of transcriptomic changes in optic nerve injury and neurodegenerative models reveals a fundamental response to injury throughout the central nervous system.Gene annotation bias impedes biomedical research.Integrative Computational Network Analysis Reveals Site-Specific Mediators of Inflammation in Alzheimer's Disease.Presymptomatic change in microRNAs modulates Tau pathology.RNA-Seq Meta-analysis identifies genes in skeletal muscle associated with gain and intake across a multi-season study of crossbred beef steers.Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases
P2860
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P2860
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
description
2014 nî lūn-bûn
@nan
2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@ast
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@en
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@nl
type
label
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@ast
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@en
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@nl
prefLabel
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@ast
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@en
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases.
@nl
P2093
P2860
P1476
Integrated multi-cohort transcriptional meta-analysis of neurodegenerative diseases
@en
P2093
Alexander A Morgan
Purvesh Khatri
Terry C Burns
P2860
P356
10.1186/PREACCEPT-1787623031136373
10.1186/S40478-014-0093-Y
P50
P577
2014-09-04T00:00:00Z