Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline - Wikidata - awgldk - TriplyDB

Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline

Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline

http://www.wikidata.org/entity/Q35073508

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Microarray Meta-Analysis Focused on the Response of Genes Involved in Redox Homeostasis to Diverse Abiotic Stresses in Rice Molecular and Genetic Characterization of Depression: Overlap with other Psychiatric Disorders and Aging Statistical Methods in Integrative Genomics A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions MiningABs: mining associated biomarkers across multi-connected gene expression datasets jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data.A fast algorithm for determining bounds and accurate approximate p-values of the rank product statistic for replicate experiments.A ranking-based meta-analysis reveals let-7 family as a meta-signature for grade classification in breast cancer Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways Transcriptome Analysis of Sunflower Genotypes with Contrasting Oxidative Stress Tolerance Reveals Individual- and Combined- Biotic and Abiotic Stress Tolerance Mechanisms.Robust differential expression analysis by learning discriminant boundary in multi-dimensional space of statistical attributes.Effects of aging on circadian patterns of gene expression in the human prefrontal cortex.Microarray Meta-Analysis and Cross-Platform Normalization: Integrative Genomics for Robust Biomarker Discovery EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY.Methods to increase reproducibility in differential gene expression via meta-analysis.Meta-Analysis of Gene Expression Patterns in Animal Models of Prenatal Alcohol Exposure Suggests Role for Protein Synthesis Inhibition and Chromatin Remodeling.Meta-analysis of gene expression and integrin-associated signaling pathways in papillary renal cell carcinoma subtypes.A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification.Global Transcriptome Analysis of Combined Abiotic Stress Signaling Genes Unravels Key Players in Oryza sativa L.: An In silico Approach Non-parametric combination and related permutation tests for neuroimaging.Estimation of random effects and identifying heterogeneous genes in meta-analysis of gene expression studies.Unveiling gene trait relationship by cross-platform meta-analysis on Chinese hamster ovary cell transcriptome.Imputation of Truncated p-Values For Meta-Analysis Methods and Its Genomic Application.A multi-model statistical approach for proteomic spectral count quantitation.Q-GDEMAR: a general method for the identification of differentially expressed genes in microarrays with unbalanced groups.An Application of Sequential Meta-Analysis to Gene Expression Studies.Meta-analysis of incomplete microarray studies.Extracting replicable associations across multiple studies: Empirical Bayes algorithms for controlling the false discovery rate.In silico prediction of synthetic lethality by meta-analysis of genetic interactions, functions, and pathways in yeast and human cancer.Meta-Analysis of Gene Expression Profiles in Acute Promyelocytic Leukemia Reveals Involved Pathways.A 16-gene expression signature to distinguish stage I from stage II lung squamous carcinoma.Protection of macrophages from intracellular pathogens by miR-182-5p mimic-a gene expression meta-analysis approach.Identification of suitable genes contributes to lung adenocarcinoma clustering by multiple meta-analysis methods.Genomic Approaches to Posttraumatic Stress Disorder: The Psychiatric Genomic Consortium Initiative.Integrated analysis of microarray data to identify the genes critical for the rupture of intracranial aneurysm.Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers.

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Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline

http://www.wikidata.org/entity/Q35073508

description

2013 nî lūn-bûn

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2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2013年の論文

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BMC Bioinformatics

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Meta-analysis methods for comb ...... n and an application guideline

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Etienne Sibille

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George C Tseng

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Hui-Min Lin

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Lun-Ching Chang

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P2860

Significance analysis of microarrays applied to the ionizing radiation response

Comparison of normalization methods for CodeLink Bioarray data.

Rank-based methods as a non-parametric alternative of the T-statistic for the analysis of biological microarray data.

Key issues in conducting a meta-analysis of gene expression microarray datasets.

Comparison study of microarray meta-analysis methods.

HYPOTHESIS SETTING AND ORDER STATISTIC FOR ROBUST GENOMIC META-ANALYSIS.

MetaQC: objective quality control and inclusion/exclusion criteria for genomic meta-analysis.

Comprehensive literature review and statistical considerations for microarray meta-analysis

An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection.

Meta-analysis of glioblastoma multiforme versus anaplastic astrocytoma identifies robust gene markers.

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1471-2105-14-368

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