Feature selection in omics prediction problems using cat scores and false nondiscovery rate control
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Increased activity in frontal motor cortex compensates impaired speech perception in older adults.Generation of a predictive melphalan resistance index by drug screen of B-cell cancer cell linesDifferential protein expression and peak selection in mass spectrometry data by binary discriminant analysis.MVDA: a multi-view genomic data integration methodology.Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataA lung cancer risk classifier comprising genome maintenance genes measured in normal bronchial epithelial cells.Novel machine learning methods for ERP analysis: a validation from research on infants at risk for autism.MALDIquant: a versatile R package for the analysis of mass spectrometry data.Identification of cryptic Anopheles mosquito species by molecular protein profiling.SVM Based Descriptor Selection and Classification of Neurodegenerative Disease Drugs for Pharmacological Modeling.Comparison of different statistical approaches for urinary peptide biomarker detection in the context of coronary artery disease.Individual Variations in Nucleus Accumbens Responses Associated with Major Depressive Disorder Symptoms.A semiautomated framework for integrating expert knowledge into disease marker identification.Untargeted Metabotyping Lolium perenne Reveals Population-Level Variation in Plant Flavonoids and AlkaloidsAn Agent-Based Clustering Approach for Gene Selection in Gene Expression Microarray.An Ensemble Framework Coping with Instability in the Gene Selection Process.Musical training sharpens and bonds ears and tongue to hear speech better.Acoustic classification of focus: On the web and in the labCoevolution of Political Discussion and Common Ground in Web Discussion ForumOptimal Whitening and DecorrelationSignal identification for rare and weak features: higher criticism or false discovery rates?Mass Spectrometry Analysis Using MALDIquant
P2860
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P2860
Feature selection in omics prediction problems using cat scores and false nondiscovery rate control
description
im März 2010 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в березні 2010
@uk
name
Feature selection in omics pre ...... alse nondiscovery rate control
@en
Feature selection in omics pre ...... alse nondiscovery rate control
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type
label
Feature selection in omics pre ...... alse nondiscovery rate control
@en
Feature selection in omics pre ...... alse nondiscovery rate control
@nl
prefLabel
Feature selection in omics pre ...... alse nondiscovery rate control
@en
Feature selection in omics pre ...... alse nondiscovery rate control
@nl
P356
P1476
Feature selection in omics pre ...... alse nondiscovery rate control
@en
P304
P356
10.1214/09-AOAS277
P577
2010-03-01T00:00:00Z