A protocol for building and evaluating predictors of disease state based on microarray data.
about
Pattern recognition in bioinformaticsUsing rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression dataAn integrated approach for identifying wrongly labelled samples when performing classification in microarray dataSymbolic data analysis to defy low signal-to-noise ratio in microarray data for breast cancer prognosis.Gene selection for survival data under dependent censoring: A copula-based approach.A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.Factors affecting the accuracy of a class prediction model in gene expression data.Selecting a classification function for class prediction with gene expression data.Classification based upon gene expression data: bias and precision of error rates.Breast cancer subtype specific classifiers of response to neoadjuvant chemotherapy do not outperform classifiers trained on all subtypesInterpretation of genomic data: questions and answers.A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.Module-based outcome prediction using breast cancer compendia.Microarray based diagnosis profits from better documentation of gene expression signatures.Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stabilityVery Important Pool (VIP) genes--an application for microarray-based molecular signatures.Detection of Colorectal Cancer by Serum and Tissue Protein Profiling: A Prospective Study in a Population at RiskThe GAB2 signaling scaffold promotes anchorage independence and drives a transcriptional response associated with metastatic progression of breast cancer.Accurate molecular classification of cancer using simple rulesProbabilistic classifiers with high-dimensional data.An evaluation protocol for subtype-specific breast cancer event prediction.A gene expression signature that can predict the recurrence of tamoxifen-treated primary breast cancer.Microarray-based cancer prediction using single genesA critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancerIntegration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcomeEvaluation of gene expression signatures predictive of cytogenetic and molecular subtypes of pediatric acute myeloid leukemiaHuman pancreatic cancer contains a side population expressing cancer stem cell-associated and prognostic genesCurrent composite-feature classification methods do not outperform simple single-genes classifiers in breast cancer prognosis.Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer--the INNODIAG studySPiCE: a web-based tool for sequence-based protein classification and explorationEvaluation of gene expression classification studies: factors associated with classification performanceIntegration of gene expression and DNA-methylation profiles improves molecular subtype classification in acute myeloid leukemiaInsight into neutral and disease-associated human genetic variants through interpretable predictorsRobust two-gene classifiers for cancer prediction.miRNA expression profiling of formalin-fixed paraffin-embedded (FFPE) hereditary breast tumorsFeature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L1/2 +2 Regularization.Optimizing molecular signatures for predicting prostate cancer recurrence.Improved breast cancer prognosis through the combination of clinical and genetic markers.A candidate molecular biomarker panel for the detection of bladder cancer.
P2860
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P2860
A protocol for building and evaluating predictors of disease state based on microarray data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի ապրիլին 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
A protocol for building and ev ...... tate based on microarray data.
@ast
A protocol for building and ev ...... tate based on microarray data.
@en
type
label
A protocol for building and ev ...... tate based on microarray data.
@ast
A protocol for building and ev ...... tate based on microarray data.
@en
prefLabel
A protocol for building and ev ...... tate based on microarray data.
@ast
A protocol for building and ev ...... tate based on microarray data.
@en
P2093
P356
P1433
P1476
A protocol for building and ev ...... tate based on microarray data.
@en
P2093
Augustinus A M Hart
Cor J Veenman
Hongyue Dai
Laura J van't Veer
Lodewyk F A Wessels
Marcel J T Reinders
Yudong D He
P304
P356
10.1093/BIOINFORMATICS/BTI429
P407
P577
2005-04-07T00:00:00Z