A survey of gene expression meta-analysis: methods and applications
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A survey of gene expression meta-analysis: methods and applications
Authors
Keywords
-
Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2020-02-05
DOI
10.1093/bib/bbaa019
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Gene expression meta-analysis of Parkinson’s disease and its relationship with Alzheimer’s disease
- (2019) Jack Kelly et al. Molecular Brain
- Gene expression profiling meta-analysis reveals novel gene signatures and pathways shared between tuberculosis and rheumatoid arthritis
- (2019) M. T. Badr et al. PLoS One
- A Meta-Analysis of Alzheimer’s Disease Brain Transcriptomic Data
- (2019) Hamel Patel et al. JOURNAL OF ALZHEIMERS DISEASE
- NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis
- (2019) Guangyan Zhou et al. NUCLEIC ACIDS RESEARCH
- Meta-Analysis of Gene Expression and Identification of Biological Regulatory Mechanisms in Alzheimer's Disease
- (2019) Lining Su et al. Frontiers in Neuroscience
- Choosing between methods of combining $p$-values
- (2018) N A Heard et al. BIOMETRIKA
- Predictors of clinical outcome in pediatric oligodendroglioma: meta-analysis of individual patient data and multiple imputation
- (2018) Kevin Yuqi Wang et al. Journal of Neurosurgery-Pediatrics
- A common molecular signature of patients with sickle cell disease revealed by microarray meta-analysis and a genome-wide association study
- (2018) Cherif Ben Hamda et al. PLoS One
- OUP accepted manuscript
- (2018) BIOINFORMATICS
- ImaGEO: integrative gene expression meta-analysis from GEO database
- (2018) Daniel Toro-Domínguez et al. BIOINFORMATICS
- Peripheral Biomarkers in Schizophrenia: A Meta-Analysis of Microarray Gene Expression Datasets
- (2018) Ignazio S Piras et al. INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY
- ArrayExpress update – from bulk to single-cell expression data
- (2018) Awais Athar et al. NUCLEIC ACIDS RESEARCH
- Meta-analysis method for discovering reliable biomarkers by integrating statistical and biological approaches: An application to liver toxicity
- (2016) Hyeyoung Cho et al. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS
- A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without
- (2016) Wendy Kröger et al. BMC Medical Genomics
- Methods to increase reproducibility in differential gene expression via meta-analysis
- (2016) Timothy E. Sweeney et al. NUCLEIC ACIDS RESEARCH
- What does research reproducibility mean?
- (2016) Steven N. Goodman et al. Science Translational Medicine
- Meta-analysis of gene expression studies in endometrial cancer identifies gene expression profiles associated with aggressive disease and patient outcome
- (2016) Tracy A. O’Mara et al. Scientific Reports
- Meta-Analysis of Gene Expression in Autism Spectrum Disorder
- (2015) Carolyn Ch'ng et al. Autism Research
- Microarray experiments and factors which affect their reliability
- (2015) Roman Jaksik et al. Biology Direct
- The importance of distinguishing between the odds ratio and the incidence rate ratio in GWAS
- (2015) Berit Lindum Waltoft et al. BMC Medical Genetics
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- A Meta-analysis of Gene Expression Signatures of Blood Pressure and Hypertension
- (2015) Tianxiao Huan et al. PLoS Genetics
- ExAtlas: An interactive online tool for meta-analysis of gene expression data
- (2015) Alexei A. Sharov et al. Journal of Bioinformatics and Computational Biology
- Hypothesis setting and order statistic for robust genomic meta-analysis
- (2014) Chi Song et al. Annals of Applied Statistics
- Differential meta-analysis of RNA-seq data from multiple studies
- (2014) Andrea Rau et al. BMC BIOINFORMATICS
- A Meta-analysis of Lung Cancer Gene Expression Identifies PTK7 as a Survival Gene in Lung Adenocarcinoma
- (2014) R. Chen et al. CANCER RESEARCH
- Integrative analysis of independent transcriptome data for rare diseases
- (2014) Zhe Zhang et al. METHODS
- Shared signatures between rheumatoid arthritis, systemic lupus erythematosus and Sjögren’s syndrome uncovered through gene expression meta-analysis
- (2014) Daniel Toro-Domínguez et al. ARTHRITIS RESEARCH & THERAPY
- Molecular Evidence for the Inverse Comorbidity between Central Nervous System Disorders and Cancers Detected by Transcriptomic Meta-analyses
- (2014) Kristina Ibáñez et al. PLoS Genetics
- Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline
- (2013) Lun-Ching Chang et al. BMC BIOINFORMATICS
- A Statistical Method for Synthesizing Meta-Analyses
- (2013) Liansheng Larry Tang et al. Computational and Mathematical Methods in Medicine
- Meta-analysis of differentially expressed genes in primary Sjogren’s syndrome by using microarray
- (2013) Gwan Gyu Song et al. HUMAN IMMUNOLOGY
- The Cancer Genome Atlas Pan-Cancer analysis project
- (2013) John N Weinstein et al. NATURE GENETICS
- The Genotype-Tissue Expression (GTEx) project
- (2013) John Lonsdale et al. NATURE GENETICS
- Gemma: a resource for the reuse, sharing and meta-analysis of expression profiling data
- (2012) A. Zoubarev et al. BIOINFORMATICS
- The sva package for removing batch effects and other unwanted variation in high-throughput experiments
- (2012) Jeffrey T. Leek et al. BIOINFORMATICS
- Methodological issues and advances in biological meta-analysis
- (2012) Shinichi Nakagawa et al. EVOLUTIONARY ECOLOGY
- Common and specific signatures of gene expression and protein–protein interactions in autoimmune diseases
- (2012) T Tuller et al. GENES AND IMMUNITY
- Comprehensive literature review and statistical considerations for microarray meta-analysis
- (2012) George C. Tseng et al. NUCLEIC ACIDS RESEARCH
- NCBI GEO: archive for functional genomics data sets—update
- (2012) Tanya Barrett et al. NUCLEIC ACIDS RESEARCH
- An adaptively weighted statistic for detecting differential gene expression when combining multiple transcriptomic studies
- (2011) Jia Li et al. Annals of Applied Statistics
- Strategies for aggregating gene expression data: The collapseRows R function
- (2011) Jeremy A Miller et al. BMC BIOINFORMATICS
- Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis
- (2011) D. V. ZAYKIN JOURNAL OF EVOLUTIONARY BIOLOGY
- Underestimated Effect Sizes in GWAS: Fundamental Limitations of Single SNP Analysis for Dichotomous Phenotypes
- (2011) Sven Stringer et al. PLoS One
- METAL: fast and efficient meta-analysis of genomewide association scans
- (2010) C. J. Willer et al. BIOINFORMATICS
- Missing value imputation for gene expression data: computational techniques to recover missing data from available information
- (2010) A. W.-C. Liew et al. BRIEFINGS IN BIOINFORMATICS
- A review of statistical methods for preprocessing oligonucleotide microarrays
- (2010) Zhijin Wu STATISTICAL METHODS IN MEDICAL RESEARCH
- metahdep: meta-analysis of hierarchically dependent gene expression studies
- (2009) J. R. Stevens et al. BIOINFORMATICS
- Moderated effect size and P-value combinations for microarray meta-analyses
- (2009) G. Marot et al. BIOINFORMATICS
- Meta-analysis of age-related gene expression profiles identifies common signatures of aging
- (2009) João Pedro de Magalhães et al. BIOINFORMATICS
- RankAggreg, an R package for weighted rank aggregation
- (2009) Vasyl Pihur et al. BMC BIOINFORMATICS
- Dealing with missing values in large-scale studies: microarray data imputation and beyond
- (2009) T. Aittokallio BRIEFINGS IN BIOINFORMATICS
- Detecting Outlier Samples in Microarray Data
- (2009) Albert D Shieh et al. Statistical Applications in Genetics and Molecular Biology
- Interpretation of Genetic Association Studies: Markers with Replicated Highly Significant Odds Ratios May Be Poor Classifiers
- (2009) Johanna Jakobsdottir et al. PLoS Genetics
- A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments
- (2008) Fangxin Hong et al. BIOINFORMATICS
- The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
- (2008) Leming Shi et al. BMC BIOINFORMATICS
- Key Issues in Conducting a Meta-Analysis of Gene Expression Microarray Datasets
- (2008) Adaikalavan Ramasamy et al. PLOS MEDICINE
- Outlier identification in high dimensions
- (2007) Peter Filzmoser et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now