Strategies for comparing gene expression profiles from different microarray platforms: application to a case-control experiment.
about
Review of the literature examining the correlation among DNA microarray technologiesStatistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basisIntra- and inter-individual variance of gene expression in clinical studiesUsing differential gene expression to study Entamoeba histolytica pathogenesis.A practical question based on cross-platform microarray data normalization: are BOEC more like large vessel or microvascular endothelial cells or neither of them?Sensitive and robust gene expression changes in fish exposed to estrogen--a microarray approachSQUAT: A web tool to mine human, murine and avian SAGE data.Novel insights into adipogenesis from omics dataTowards large-scale sample annotation in gene expression repositories.Bimodal gene expression patterns in breast cancerA gene expression signature of RAS pathway dependence predicts response to PI3K and RAS pathway inhibitors and expands the population of RAS pathway activated tumors.Consistency of predictive signature genes and classifiers generated using different microarray platforms.High-throughput processing and normalization of one-color microarrays for transcriptional meta-analysesMicroarray evidences the role of pathologic adipose tissue in insulin resistance and their clinical implications.Toxicogenomic biomarkers for liver toxicitymiRNA-target network reveals miR-124as a key miRNA contributing to clear cell renal cell carcinoma aggressive behaviour by targeting CAV1 and FLOT1Meta-analysis of microarray results: challenges, opportunities, and recommendations for standardizationAnalysis of differentially expressed genes in colorectal adenocarcinoma with versus without metastasis by three-dimensional oligonucleotide microarray.Practical application of toxicogenomics for profiling toxicant-induced biological perturbations.
P2860
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P2860
Strategies for comparing gene expression profiles from different microarray platforms: application to a case-control experiment.
description
2006 nî lūn-bûn
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2006年の論文
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2006年論文
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2006年論文
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2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
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2006年论文
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2006年论文
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name
Strategies for comparing gene ...... to a case-control experiment.
@en
type
label
Strategies for comparing gene ...... to a case-control experiment.
@en
prefLabel
Strategies for comparing gene ...... to a case-control experiment.
@en
P50
P356
P1476
Strategies for comparing gene ...... to a case-control experiment.
@en
P2093
Cristina Battaglia
Francesca Scarlatti
P356
10.1016/J.AB.2006.03.023
P407
P50
P577
2006-04-03T00:00:00Z