Enabling personalized cancer medicine through analysis of gene-expression patterns.
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Systems medicine: the future of medical genomics and healthcareA new view of carcinogenesis and an alternative approach to cancer therapyNew trends in molecular and cellular biomarker discovery for colorectal cancerPredictive biomarkers for treatment selection: statistical considerationsClinical implementation of comprehensive strategies to characterize cancer genomes: opportunities and challengesVisualizing multidimensional cancer genomics dataStrategic applications of gene expression: from drug discovery/development to bedsideReverse translation in tuberculosis: neutrophils provide clues for understanding development of active diseasePreclinical mouse cancer models: a maze of opportunities and challenges.Estrogen biology: new insights into GPER function and clinical opportunitiesNetwork based consensus gene signatures for biomarker discovery in breast cancerPredicting response to preoperative chemotherapy agents by identifying drug action on modeled microRNA regulation networksIdentification and glycerol-induced correction of misfolding mutations in the X-linked mental retardation gene CASKIntegrative network modeling approaches to personalized cancer medicineBreast cancer classification and prognostication through diverse systems along with recent emerging findings in this respect; the dawn of new perspectives in the clinical applications.Review of extracting information from the Social Web for health personalizationConstrained mixture estimation for analysis and robust classification of clinical time series.Exploiting the noise: improving biomarkers with ensembles of data analysis methodologies.Challenges of incorporating gene expression data to predict HCC prognosis in the age of systems biologyCombining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data.A distance-based test of association between paired heterogeneous genomic data.Assessing the impact of mutations found in next generation sequencing data over human signaling pathways.Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network.A quantitative proteomic approach of the different stages of colorectal cancer establishes OLFM4 as a new nonmetastatic tumor markerIntegrating text mining, data mining, and network analysis for identifying genetic breast cancer trendsbiosigner: A New Method for the Discovery of Significant Molecular Signatures from Omics Data.Development of a microarray platform for FFPET profiling: application to the classification of human tumors.Improved RNA preservation for immunolabeling and laser microdissection.3'-end sequencing for expression quantification (3SEQ) from archival tumor samples.Breast cancer diagnosis using a microfluidic multiplexed immunohistochemistry platform.Systematic functional perturbations uncover a prognostic genetic network driving human breast cancerMultiplexed DNA repair assays for multiple lesions and multiple doses via transcription inhibition and transcriptional mutagenesis.Correlating measurements across samples improves accuracy of large-scale expression profile experiments.MicroRNA expression profiling of specific cells in complex archival tissue stained by immunohistochemistry.Differential Plasma Glycoproteome of p19 Skin Cancer Mouse Model Using the Corra Label-Free LC-MS Proteomics PlatformTargeted Therapy Database (TTD): a model to match patient's molecular profile with current knowledge on cancer biologyCombinatorial and high-throughput screening of biomaterials.Pharmacologic reversion of epigenetic silencing of the PRKD1 promoter blocks breast tumor cell invasion and metastasis.Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.Confident predictability: identifying reliable gene expression patterns for individualized tumor classification using a local minimax kernel algorithm.
P2860
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P2860
Enabling personalized cancer medicine through analysis of gene-expression patterns.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on April 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@en
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@nl
type
label
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@en
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@nl
prefLabel
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@en
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@nl
P356
P1433
P1476
Enabling personalized cancer medicine through analysis of gene-expression patterns.
@en
P2093
Laura J van't Veer
P2860
P2888
P304
P356
10.1038/NATURE06915
P407
P577
2008-04-01T00:00:00Z
P5875
P6179
1043830331