Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization
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When is hub gene selection better than standard meta-analysis?Molecular classification and novel targets in hepatocellular carcinoma: recent advancementsIdentification of reference genes across physiological states for qRT-PCR through microarray meta-analysisCombining evidence of preferential gene-tissue relationships from multiple sourcesA New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic StudyStatistical evaluation of transcriptomic data generated using the Affymetrix one-cycle, two-cycle and IVT-Express RNA labelling protocols with the Arabidopsis ATH1 microarrayA data similarity-based strategy for meta-analysis of transcriptional profiles in cancer.virtualArray: a R/bioconductor package to merge raw data from different microarray platforms.Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinomaPathways of aging: comparative analysis of gene signatures in replicative senescence and stress induced premature senescencePutative psychosis genes in the prefrontal cortex: combined analysis of gene expression microarrays.A novel tissue-specific meta-analysis approach for gene expression predictions, initiated with a mammalian gene expression testis database.Porcine tissue-specific regulatory networks derived from meta-analysis of the transcriptome.Accessing and integrating data and knowledge for biomedical research.Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data.A global meta-analysis of microarray expression data to predict unknown gene functions and estimate the literature-data divide.A computational screen for regulators of oxidative phosphorylation implicates SLIRP in mitochondrial RNA homeostasis.Novel insights into adipogenesis from omics dataQuantitative comparison of microarray experiments with published leukemia related gene expression signatures.Genome-wide identification of hypoxia-inducible factor binding sites and target genes by a probabilistic model integrating transcription-profiling data and in silico binding site prediction.A cross-laboratory comparison of expression profiling data from normal human postmortem brain.Integrative meta-analysis of differential gene expression in acute myeloid leukemiaA quick guide to large-scale genomic data mining.Comparison study of microarray meta-analysis methods.Microarray meta-analysis database (M(2)DB): a uniformly pre-processed, quality controlled, and manually curated human clinical microarray database.Evaluation of external RNA controls for the standardisation of gene expression biomarker measurements.Effect of data combination on predictive modeling: a study using gene expression dataIdentification of human housekeeping genes and tissue-selective genes by microarray meta-analysis.Consistent Differential Expression Pattern (CDEP) on microarray to identify genes related to metastatic behavior.Immune response and mitochondrial metabolism are commonly deregulated in DMD and aging skeletal muscle.High-throughput processing and normalization of one-color microarrays for transcriptional meta-analysesRobust rank aggregation for gene list integration and meta-analysisMeasuring the effect of inter-study variability on estimating prediction error.Meta-analysis derived (MAD) transcriptome of psoriasis defines the "core" pathogenesis of diseaseCancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data.Translating bioinformatics in oncology: guilt-by-profiling analysis and identification of KIF18B and CDCA3 as novel driver genes in carcinogenesis.Molecular signatures database (MSigDB) 3.0.A common gene signature across multiple studies relate biomarkers and functional regulation in tolerance to renal allograft.UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasetsMeta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways
P2860
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P2860
Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardization
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Meta-analysis of microarray re ...... mendations for standardization
@ast
Meta-analysis of microarray re ...... mendations for standardization
@en
type
label
Meta-analysis of microarray re ...... mendations for standardization
@ast
Meta-analysis of microarray re ...... mendations for standardization
@en
prefLabel
Meta-analysis of microarray re ...... mendations for standardization
@ast
Meta-analysis of microarray re ...... mendations for standardization
@en
P2093
P2860
P1433
P1476
Meta-analysis of microarray re ...... mendations for standardization
@en
P2093
Denise Mooney
Felicia Rovegno
Georges St Laurent
John C Newman
Patrick Cahan
Timothy A McCaffrey
P2860
P356
10.1016/J.GENE.2007.06.016
P407
P577
2007-07-03T00:00:00Z