MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis.
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Statistical Methods in Integrative GenomicsNovel factors in the pathogenesis of psoriasis and potential drug candidates are found with systems biology approachReuse of public genome-wide gene expression dataPromoting similarity of model sparsity structures in integrative analysis of cancer genetic data.Detecting disease-associated genes with confounding variable adjustment and the impact on genomic meta-analysis: with application to major depressive disorderHYPOTHESIS SETTING AND ORDER STATISTIC FOR ROBUST GENOMIC META-ANALYSIS.Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guidelineIncreasing consistency of disease biomarker prediction across datasets.Regulatory network reconstruction reveals genes with prognostic value for chronic lymphocytic leukemia.AuPairWise: A Method to Estimate RNA-Seq Replicability through Co-expression.An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection.SBR-Blood: systems biology repository for hematopoietic cells.Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker DiscoveryMethods to increase reproducibility in differential gene expression via meta-analysis.Meta-analysis of gene expression and integrin-associated signaling pathways in papillary renal cell carcinoma subtypes.Integrated analyses for genetic markers of polycystic ovary syndrome with 9 case-control studies of gene expression profiles.Biomarker detection and categorization in ribonucleic acid sequencing meta-analysis using Bayesian hierarchical models.Study of Meta-analysis strategies for network inference using information-theoretic approaches.MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis.Systematic analysis of coronary artery disease datasets revealed the potential biomarker and treatment target.Identification of two novel biomarkers of rectal carcinoma progression and prognosis via co-expression network analysis.A 16-gene expression signature to distinguish stage I from stage II lung squamous carcinoma.Meta-analytic Principal Component Analysis in Integrative Omics Application.Support vector machine classifier for prediction of the metastasis of colorectal cancer.Systematic-analysis of mRNA expression profiles in skeletal muscle of patients with type II diabetes: The glucocorticoid was central in pathogenesis.Feature genes in metastatic breast cancer identified by MetaDE and SVM classifier methods.Meta-Analysis of Parkinson's Disease and Alzheimer's Disease Revealed Commonly Impaired Pathways and Dysregulation of NRF2-Dependent Genes.A common molecular signature of patients with sickle cell disease revealed by microarray meta-analysis and a genome-wide association studyEstablishment of a SVM classifier to predict recurrence of ovarian cancer
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MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@ast
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@en
type
label
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@ast
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@en
prefLabel
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@ast
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@en
P2093
P2860
P356
P1476
MetaQC: objective quality cont ...... ria for genomic meta-analysis.
@en
P2093
Dongwan D Kang
Etienne Sibille
George C Tseng
P2860
P356
10.1093/NAR/GKR1071
P407
P577
2011-11-23T00:00:00Z