Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data.
about
Highly accurate two-gene classifier for differentiating gastrointestinal stromal tumors and leiomyosarcomasValidation of proposed prostate cancer biomarkers with gene expression data: a long road to travelApplication of biclustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterialsData integration in genetics and genomics: methods and challengesA gene expression signature predicts survival of patients with stage I non-small cell lung cancerUsing the ratio of means as the effect size measure in combining results of microarray experiments.Cancer biomarker discovery: the entropic hallmark.Covariance adjustment for batch effect in gene expression dataTwo-transcript gene expression classifiers in the diagnosis and prognosis of human diseases.Outlier Analysis and Top Scoring Pair for Integrated Data Analysis and Biomarker Discovery.Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients.Bayesian meta-analysis models for microarray data: a comparative study.Three methods for optimization of cross-laboratory and cross-platform microarray expression data.Large-scale integration of cancer microarray data identifies a robust common cancer signature.Merging microarray data from separate breast cancer studies provides a robust prognostic test.Quantitative real-time RT-PCR of CD24 mRNA in the detection of prostate cancerA comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.A mixture model approach to the tests of concordance and discordance between two large-scale experiments with two-sample groups.Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stabilityA statistical framework for integrating two microarray data sets in differential expression analysisIterative Bayesian Model Averaging: a method for the application of survival analysis to high-dimensional microarray data.Integrative analysis of gene expression data including an assessment of pathway enrichment for predicting prostate cancerMeta Analysis of Gene Expression Data within and Across Species.The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations.Can survival prediction be improved by merging gene expression data sets?Classification across gene expression microarray studies.Novel methods to identify biologically relevant genes for leukemia and prostate cancer from gene expression profiles.Independent component analysis: mining microarray data for fundamental human gene expression modulesThawing Frozen Robust Multi-array Analysis (fRMA)Usefulness of the top-scoring pairs of genes for prediction of prostate cancer progression.Relative expression analysis for molecular cancer diagnosis and prognosisA new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis.MicroRNA expression profiles of whole blood in lung adenocarcinomaRobust two-gene classifiers for cancer prediction.Comprehensive literature review and statistical considerations for microarray meta-analysisAn argument for mechanism-based statistical inference in cancer.Regulators of gene expression as biomarkers for prostate cancerFusing Gene Interaction to Improve Disease Discrimination on Classification Analysis.Systems biology and cancer stem cells.Molecular approaches to resolve diagnostic dilemmas: the case of gastrointestinal stromal tumor and leiomyosarcoma.
P2860
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P2860
Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Robust prostate cancer marker ...... f inter-study microarray data.
@ast
Robust prostate cancer marker ...... f inter-study microarray data.
@en
type
label
Robust prostate cancer marker ...... f inter-study microarray data.
@ast
Robust prostate cancer marker ...... f inter-study microarray data.
@en
prefLabel
Robust prostate cancer marker ...... f inter-study microarray data.
@ast
Robust prostate cancer marker ...... f inter-study microarray data.
@en
P2093
P2860
P356
P1433
P1476
Robust prostate cancer marker ...... f inter-study microarray data.
@en
P2093
Daniel Q Naiman
Donald Geman
Raimond L Winslow
P2860
P304
P356
10.1093/BIOINFORMATICS/BTI647
P407
P577
2005-08-30T00:00:00Z