about
Portrait of ependymoma recurrence in children: biomarkers of tumor progression identified by dual-color microarray-based gene expression analysisFalse Discovery Rates in PET and CT Studies with Texture Features: A Systematic ReviewNew molecularly targeted therapies for lung cancerUtility of prognostic genomic tests in breast cancer practice: The IMPAKT 2012 Working Group Consensus StatementStatistical controversies in clinical research: prognostic gene signatures are not (yet) useful in clinical practiceBreast cancer classification and prognostication through diverse systems along with recent emerging findings in this respect; the dawn of new perspectives in the clinical applications.Quantifying stability in gene list ranking across microarray derived clinical biomarkers.Biological convergence of cancer signaturesDATE analysis: A general theory of biological change applied to microarray data.The role of Ki-67 in the proliferation and prognosis of breast cancer molecular classification subtypesMolecular profiling currently offers no more than tumour morphology and basic immunohistochemistry.Microsatellite instability in colorectal cancer-the stable evidence.Microarray-based class discovery for molecular classification of breast cancer: analysis of interobserver agreementPrognostic and predictive biomarkers in resected colon cancer: current status and future perspectives for integrating genomics into biomarker discovery.Prognostic value of a 92-probe signature in breast cancer.Development of a survival prediction model for gastric cancer using serine proteases and their inhibitors.DNA microarray analyses of melanoma gene expression: a decade in the mines.A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects.Gene expression profiling of non-small-cell lung cancer.Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancerCombining a molecular profile with a clinical and pathological profile: biostatistical considerationsMicroarray-based gene expression profiling as a clinical tool for breast cancer management: are we there yet?Gene expression profile and response to trastuzumab-docetaxel-based treatment in breast carcinoma.Characteristics and Validation Techniques for PCA-Based Gene-Expression Signatures.Multidimensionality of microarrays: statistical challenges and (im)possible solutions.Identification of biomarker-by-treatment interactions in randomized clinical trials with survival outcomes and high-dimensional spaces.Increased expression of phosphatidylethanolamine-binding protein 4 (PEBP4) strongly associates with human gliomas grade.Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.Identification of a gene signature associated with radiotherapy and prognosis in gliomas.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
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
name
Interpretation of microarray data in cancer
@ast
Interpretation of microarray data in cancer
@en
Interpretation of microarray data in cancer
@en-gb
Interpretation of microarray data in cancer
@nl
type
label
Interpretation of microarray data in cancer
@ast
Interpretation of microarray data in cancer
@en
Interpretation of microarray data in cancer
@en-gb
Interpretation of microarray data in cancer
@nl
prefLabel
Interpretation of microarray data in cancer
@ast
Interpretation of microarray data in cancer
@en
Interpretation of microarray data in cancer
@en-gb
Interpretation of microarray data in cancer
@nl
P2860
P921
P3181
P356
P1476
Interpretation of microarray data in cancer
@en
P2093
P2860
P2888
P304
P3181
P356
10.1038/SJ.BJC.6603673
P407
P577
2007-04-23T00:00:00Z
P5875
P6179
1037541535