Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
about
Stroma-associated master regulators of molecular subtypes predict patient prognosis in ovarian cancer.Orchestrating high-throughput genomic analysis with BioconductorA reproducible approach to high-throughput biological data acquisition and integrationMás-o-menos: a simple sign averaging method for discrimination in genomic data analysis.Cross-study validation for the assessment of prediction algorithms.Genome-driven integrated classification of breast cancer validated in over 7,500 samples.OvMark: a user-friendly system for the identification of prognostic biomarkers in publically available ovarian cancer gene expression datasets.Single Gene Prognostic Biomarkers in Ovarian Cancer: A Meta-Analysis.Characterization of twenty-five ovarian tumour cell lines that phenocopy primary tumours.Leveraging global gene expression patterns to predict expression of unmeasured genesMachine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.Risk prediction for late-stage ovarian cancer by meta-analysis of 1525 patient samples.Prediction of Possible Biomarkers and Novel Pathways Conferring Risk to Post-Traumatic Stress DisorderDistance in cancer gene expression from stem cells predicts patient survival.E2F4 Program Is Predictive of Progression and Intravesical Immunotherapy Efficacy in Bladder CancerOptimized Prediction of Extreme Treatment Outcomes in Ovarian Cancer.Characteristics of 10-year survivors of high-grade serous ovarian carcinoma.Genetic and molecular changes in ovarian cancer.NUAK1 (ARK5) Is Associated with Poor Prognosis in Ovarian Cancer.MARCKS contributes to stromal cancer-associated fibroblast activation and facilitates ovarian cancer metastasis.Preoperative red cell distribution width and neutrophil-to-lymphocyte ratio predict survival in patients with epithelial ovarian cancerThe Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer.Patient-specific driver gene prediction and risk assessment through integrated network analysis of cancer omics profiles.Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: Meta-analysis with a joint model.The Doppelgänger Effect: Hidden Duplicates in Databases of Transcriptome Profiles.Open access to large scale datasets is needed to translate knowledge of cancer heterogeneity into better patient outcomes.The expression of miRNAs is associated with tumour genome instability and predicts the outcome of ovarian cancer patients treated with platinum agents.SIRT1 deacetylates KLF4 to activate Claudin-5 transcription in ovarian cancer cells.Integrative multi-platform meta-analysis of gene expression profiles in pancreatic ductal adenocarcinoma patients for identifying novel diagnostic biomarkers.Next generation sequencing of pancreatic ductal adenocarcinoma: right or wrong?Data and Statistical Methods To Analyze the Human Microbiome.Training replicable predictors in multiple studies.
P2860
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P2860
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
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2014 nî lūn-bûn
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2014 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի ապրիլին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
@zh-hant
2014年論文
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2014年論文
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2014年論文
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2014年论文
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name
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@ast
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@en
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@nl
type
label
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@ast
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@en
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@nl
prefLabel
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@ast
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@en
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@nl
P2093
P2860
P50
P3181
P356
P1476
Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
@en
P2093
Benjamin Frederick Ganzfried
Christoph Bernau
Curtis Huttenhower
Giovanni Parmigiani
Levi Waldron
Mahnaz Ahmadifar
Michael Birrer
Svitlana Tyekucheva
Thomas Risch
P2860
P3181
P356
10.1093/JNCI/DJU049
P407
P577
2014-04-03T00:00:00Z