Optimized ranking and selection methods for feature selection with application in microarray experiments

scientific article published on March 2010

Optimized ranking and selection methods for feature selection with application in microarray experiments is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1080/10543400903572720
P932PMC publication ID2909494
P698PubMed publication ID20309756
P5875ResearchGate publication ID42390730

P2093author name stringXinping Cui
Jason Wilson
Haibing Zhao
P2860cites workReproducibility Probability Score--incorporating measurement variability across laboratories for gene selectionQ79423598
Getting the noise out of gene arraysQ80894991
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurementsQ24597089
Evaluation of gene expression measurements from commercial microarray platformsQ24682668
Gene expression profiling predicts clinical outcome of breast cancerQ27860732
A gene-expression signature as a predictor of survival in breast cancerQ27860945
Molecular classification of cancer: class discovery and class prediction by gene expression monitoringQ27861072
The control of the false discovery rate in multiple testing under dependencyQ29032132
Statistical significance threshold criteria for analysis of microarray gene expression dataQ31038601
Estimation of false discovery rates in multiple testing: application to gene microarray dataQ33198358
Microarray data analysis: from disarray to consolidation and consensusQ33230059
On the probability of correct selection for large k populations, with application to microarray dataQ33377958
Microarray expression profiling identifies genes with altered expression in HDL-deficient miceQ35089680
Estimation and control of multiple testing error rates for microarray studies.Q36500299
Applying the generalized partitioning principle to control the generalized familywise error rateQ36753530
A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion.Q36910192
A review of feature selection techniques in bioinformaticsQ36919689
Multiple testing. Part I. Single-step procedures for control of general type I error ratesQ44314384
RDCurve: A Nonparametric Method to Evaluate the Stability of Ranking ProceduresQ45756732
Significance of gene ranking for classification of microarray samples.Q45965712
Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives.Q46033298
Multiple testing. Part II. Step-down procedures for control of the family-wise error rateQ46616890
Sample size calculations based on ranking and selection in microarray experimentsQ47275759
Degrees of differential gene expression: detecting biologically significant expression differences and estimating their magnitudesQ48553865
Improving false discovery rate estimationQ48557492
Resampling-based false discovery rate controlling multiple test procedures for correlated test statisticsQ56622255
A direct approach to false discovery ratesQ56622258
Selecting Differentially Expressed Genes from Microarray ExperimentsQ57055374
P433issue2
P921main subjectfeature selectionQ446488
P304page(s)223-239
P577publication date2010-03-01
P1433published inJournal of Biopharmaceutical StatisticsQ15764587
P1476titleOptimized ranking and selection methods for feature selection with application in microarray experiments
P478volume20

Reverse relations

Q37270376Reducing the complexity of complex gene coexpression networks by coupling multiweighted labeling with topological analysiscites workP2860

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