A consensus prognostic gene expression classifier for ER positive breast cancer.
about
ANCCA, an estrogen-regulated AAA+ ATPase coactivator for ERalpha, is required for coregulator occupancy and chromatin modificationCorrecting for intra-experiment variation in Illumina BeadChip data is necessary to generate robust gene-expression profilesA data similarity-based strategy for meta-analysis of transcriptional profiles in cancer.Breast cancer prognosis risk estimation using integrated gene expression and clinical dataA comparative study of improvements Pre-filter methods bring on feature selection using microarray dataMerging microarray data from separate breast cancer studies provides a robust prognostic test.Elucidating the altered transcriptional programs in breast cancer using independent component analysis.Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcomeModule-based outcome prediction using breast cancer compendia.A gene sets approach for identifying prognostic gene signatures for outcome prediction.Building pathway clusters from Random Forests classification using class votesCell cycle correlated genes dictate the prognostic power of breast cancer gene lists.Meta-analysis confirms BCL2 is an independent prognostic marker in breast cancer.Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stabilityPrognostic breast cancer signature identified from 3D culture model accurately predicts clinical outcome across independent datasetsIntrinsic bias in breast cancer gene expression data sets.A systems biology-based gene expression classifier of glioblastoma predicts survival with solid tumors.Survival prediction from clinico-genomic models--a comparative study.Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modulesIntegration of pre-normalized microarray data using quantile correction.Prolactin-induced protein is required for cell cycle progression in breast cancer.A gene expression signature that can predict the recurrence of tamoxifen-treated primary breast cancer.ANCCA/ATAD2 overexpression identifies breast cancer patients with poor prognosis, acting to drive proliferation and survival of triple-negative cells through control of B-Myb and EZH2.Integration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcomeAnalysing breast cancer microarrays from African Americans using shrinkage-based discriminant analysis.Prognostic gene network modules in breast cancer hold promise.Coagulation factor VII is regulated by androgen receptor in breast cancer.Integrative analysis of survival-associated gene sets in breast cancer.Denoising perturbation signatures reveal an actionable AKT-signaling gene module underlying a poor clinical outcome in endocrine-treated ER+ breast cancer.Evaluation of public cancer datasets and signatures identifies TP53 mutant signatures with robust prognostic and predictive valueApplication of microarray in breast cancer: An overview.Expression of a-Tocopherol-Associated protein (TAP) is associated with clinical outcome in breast cancer patients.Low Concordance between Gene Expression Signatures in ER Positive HER2 Negative Breast Carcinoma Could Impair Their Clinical Application.Aurora kinase A outperforms Ki67 as a prognostic marker in ER-positive breast cancerHigh-resolution aCGH and expression profiling identifies a novel genomic subtype of ER negative breast cancerAn immune response gene expression module identifies a good prognosis subtype in estrogen receptor negative breast cancer.Gene expression profiling in primary breast cancer distinguishes patients developing local recurrence after breast-conservation surgery, with or without postoperative radiotherapyEffects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohortMeta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures.
P2860
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P2860
A consensus prognostic gene expression classifier for ER positive breast cancer.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
A consensus prognostic gene expression classifier for ER positive breast cancer.
@ast
A consensus prognostic gene expression classifier for ER positive breast cancer.
@en
type
label
A consensus prognostic gene expression classifier for ER positive breast cancer.
@ast
A consensus prognostic gene expression classifier for ER positive breast cancer.
@en
prefLabel
A consensus prognostic gene expression classifier for ER positive breast cancer.
@ast
A consensus prognostic gene expression classifier for ER positive breast cancer.
@en
P2860
P50
P1433
P1476
A consensus prognostic gene expression classifier for ER positive breast cancer.
@en
P2093
Andrew E Teschendorff
Sam Aparicio
P2860
P2888
P356
10.1186/GB-2006-7-10-R101
P577
2006-10-31T00:00:00Z