Comparison of performance of one-color and two-color gene-expression analyses in predicting clinical endpoints of neuroblastoma patients

scientific article

Comparison of performance of one-color and two-color gene-expression analyses in predicting clinical endpoints of neuroblastoma patients is …
instance of (P31):
scholarly articleQ13442814

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P6179Dimensions Publication ID1040150746
P356DOI10.1038/TPJ.2010.53
P932PMC publication ID2920066
P698PubMed publication ID20676065
P5875ResearchGate publication ID45440918

P50authorRoland EilsQ30004000
Benedikt BrorsQ30004004
P2093author name stringL Li
F Westermann
M Fischer
L Shi
F Berthold
D Juraeva
A Oberthuer
R D Wolfinger
Y Kahlert
P2860cites workEvaluation of reference-based two-color methods for measurement of gene expression ratios using spotted cDNA microarrays.Q25255703
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The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive modelsQ30512428
Microarray scanner calibration curves: characteristics and implicationsQ33219774
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Outcome signature genes in breast cancer: is there a unique set?Q42633433
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification ProblemsQ55878266
Gene Selection for Cancer Classification using Support Vector MachinesQ56535529
The use of the area under the ROC curve in the evaluation of machine learning algorithmsQ56594447
Customized Oligonucleotide Microarray Gene Expression–Based Classification of Neuroblastoma Patients Outperforms Current Clinical Risk StratificationQ57270614
Expression profiling using cDNA microarraysQ77895878
Performance comparison of one-color and two-color platforms within the MicroArray Quality Control (MAQC) projectQ80238189
Ratio-based decisions and the quantitative analysis of cDNA microarray imagesQ87383035
P4510describes a project that useslimmaQ112236343
P433issue4
P921main subjectneuroblastomaQ938205
P304page(s)258-266
P577publication date2010-08-01
P1433published inThe Pharmacogenomics JournalQ10534704
P1476titleComparison of performance of one-color and two-color gene-expression analyses in predicting clinical endpoints of neuroblastoma patients
P478volume10

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cites work (P2860)
Q926213255-Hydroxymethylcytosine Profiles Are Prognostic of Outcome in Neuroblastoma and Reveal Transcriptional Networks That Correlate With Tumor Phenotype
Q36911240An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma.
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Q24561405Calreticulin Is the Dominant Pro-Phagocytic Signal on Multiple Human Cancers and Is Counterbalanced by CD47
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Q35158226Evaluation of gene expression classification studies: factors associated with classification performance
Q34611561FOXP1 inhibits cell growth and attenuates tumorigenicity of neuroblastoma
Q44644664Gene expression and molecular pathway activation signatures of MYCN-amplified neuroblastomas
Q34100931Histone deacetylase 2 and N-Myc reduce p53 protein phosphorylation at serine 46 by repressing gene transcription of tumor protein 53-induced nuclear protein 1
Q36890247Hox-C9 activates the intrinsic pathway of apoptosis and is associated with spontaneous regression in neuroblastoma
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Q38294764Integrative omics reveals MYCN as a global suppressor of cellular signalling and enables network-based therapeutic target discovery in neuroblastoma
Q92185923JMJD6 is a tumorigenic factor and therapeutic target in neuroblastoma
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Q37686989MYCN and HDAC5 transcriptionally repress CD9 to trigger invasion and metastasis in neuroblastoma
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