meta-analysis | Q815382 |
scholarly article | Q13442814 |
P356 | DOI | 10.1111/BIOM.12213 |
P698 | PubMed publication ID | 25196635 |
P894 | zbMATH Open document ID | 1393.62077 |
P2093 | author name string | Menggang Yu | |
Jun Shao | |||
Chiang-Ching Huang | |||
Quefeng Li | |||
Sijian Wang | |||
P2860 | cites work | A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits | Q24169696 |
Inflammation, atherosclerosis, and coronary artery disease | Q29547232 | ||
Toll-like receptor control of the adaptive immune responses | Q29547305 | ||
Inflammation in atherosclerosis | Q29547428 | ||
Regularization Paths for Generalized Linear Models via Coordinate Descent | Q29614491 | ||
Systems-Level Analysis of Genome-Wide Association Data | Q30422887 | ||
Gene expression patterns in peripheral blood correlate with the extent of coronary artery disease | Q30486777 | ||
Meta-analysis of microarray data on pancreatic cancer defines a set of commonly dysregulated genes | Q30989925 | ||
Pathways-based analyses of whole-genome association study data in bipolar disorder reveal genes mediating ion channel activity and synaptic neurotransmission | Q33389202 | ||
Regularized gene selection in cancer microarray meta-analysis | Q33396835 | ||
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Activated TLR signaling in atherosclerosis among women with lower Framingham risk score: the multi-ethnic study of atherosclerosis | Q33940856 | ||
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Interpreting meta-analyses of genome-wide association studies | Q34187048 | ||
Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment | Q35577543 | ||
Plasmacytoid dendritic cells protect against atherosclerosis by tuning T-cell proliferation and activity | Q35613674 | ||
Nonconcave Penalized Likelihood With NP-Dimensionality | Q35698717 | ||
External validity, generalizability, and knowledge utilization | Q35751344 | ||
Comprehensive literature review and statistical considerations for microarray meta-analysis | Q35955982 | ||
TTC7B emerges as a novel risk factor for ischemic stroke through the convergence of several genome-wide approaches. | Q36008248 | ||
Pathway-based approaches for analysis of genomewide association studies | Q36512103 | ||
Pathway analysis of seven common diseases assessed by genome-wide association | Q37014849 | ||
Recognition of viral single-stranded RNA by Toll-like receptors | Q37074516 | ||
Double-stranded RNA induces biphasic STAT1 phosphorylation by both type I interferon (IFN)-dependent and type I IFN-independent pathways | Q39279869 | ||
A group bridge approach for variable selection | Q42236411 | ||
Outcome signature genes in breast cancer: is there a unique set? | Q42633433 | ||
Combining results of microarray experiments: a rank aggregation approach | Q48427411 | ||
Meta-analysis for ranked discovery datasets: theoretical framework and empirical demonstration for microarrays | Q51901611 | ||
Combining multiple microarray studies and modeling interstudy variation | Q52012806 | ||
P433 | issue | 4 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | meta-analysis | Q815382 |
P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
P304 | page(s) | 872-880 | |
P577 | publication date | 2014-09-05 | |
P1433 | published in | Biometrics | Q2025724 |
P1476 | title | Meta-analysis based variable selection for gene expression data | |
P478 | volume | 70 |
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