Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability
about
Amplification of LAPTM4B and YWHAZ contributes to chemotherapy resistance and recurrence of breast cancerPrognostic value of microRNA expression in operable non-small cell lung cancer patientsIntegrative computational biology for cancer researchA comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients.Can survival prediction be improved by merging gene expression data sets?Gene expression meta-analysis identifies VDAC1 as a predictor of poor outcome in early stage non-small cell lung cancer.Effect of data combination on predictive modeling: a study using gene expression dataCombining gene signatures improves prediction of breast cancer survival.Protein interaction network underpins concordant prognosis among heterogeneous breast cancer signaturesAn evaluation protocol for subtype-specific breast cancer event prediction.Single sample expression-anchored mechanisms predict survival in head and neck cancer.A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancerIntegration of breast cancer gene signatures based on graph centralityIntegration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcomeTGFβ induces "BRCAness" and sensitivity to PARP inhibition in breast cancer by regulating DNA-repair genesEffects of sample size on differential gene expression, rank order and prediction accuracy of a gene signatureSystematic assessment of prognostic gene signatures for breast cancer shows distinct influence of time and ER status.Biological and Clinical Significance of MAD2L1 and BUB1, Genes Frequently Appearing in Expression Signatures for Breast Cancer Prognosis.Robust Selection Algorithm (RSA) for Multi-Omic Biomarker Discovery; Integration with Functional Network Analysis to Identify miRNA Regulated Pathways in Multiple Cancers.Low Concordance between Gene Expression Signatures in ER Positive HER2 Negative Breast Carcinoma Could Impair Their Clinical Application.Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer.FERAL: network-based classifier with application to breast cancer outcome prediction.Bridging cancer biology with the clinic: relative expression of a GRHL2-mediated gene-set pair predicts breast cancer metastasis.Targeting uPAR with antagonistic recombinant human antibodies in aggressive breast cancerA comprehensive analysis of prognostic signatures reveals the high predictive capacity of the proliferation, immune response and RNA splicing modules in breast cancer.Effects of sample size on robustness and prediction accuracy of a prognostic gene signature.Multi-institutional study of nuclear KIFC1 as a biomarker of poor prognosis in African American women with triple-negative breast cancerMetabolic Stress-Induced Phosphorylation of KAP1 Ser473 Blocks Mitochondrial Fusion in Breast Cancer Cells.Acid ceramidase 1 expression correlates with a better prognosis in ER-positive breast cancer.Gene expression information improves reliability of receptor status in breast cancer patients.Hadamard Kernel SVM with applications for breast cancer outcome predictions.De novo pathway-based biomarker identification.Gene expression profiles for predicting metastasis in breast cancer: a cross-study comparison of classification methods.The Complex Subtype-Dependent Role of Connexin 43 (GJA1) in Breast Cancer.Genes and functions from breast cancer signatures.A prognostic model for lymph node-negative breast cancer patients based on the integration of proliferation and immunity.
P2860
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P2860
Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability
description
2008 nî lūn-bûn
@nan
2008 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Pooling breast cancer datasets ...... d improves signature stability
@ast
Pooling breast cancer datasets ...... d improves signature stability
@en
type
label
Pooling breast cancer datasets ...... d improves signature stability
@ast
Pooling breast cancer datasets ...... d improves signature stability
@en
prefLabel
Pooling breast cancer datasets ...... d improves signature stability
@ast
Pooling breast cancer datasets ...... d improves signature stability
@en
P2093
P2860
P356
P1433
P1476
Pooling breast cancer datasets ...... d improves signature stability
@en
P2093
Fabien Reyal
Hugo M Horlings
Lodewyk F A Wessels
Marcel J T Reinders
Martin H van Vliet
P2860
P2888
P356
10.1186/1471-2164-9-375
P407
P577
2008-08-06T00:00:00Z
P5875
P6179
1051350612