Development of biomarker classifiers from high-dimensional data.
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Predictive biomarkers for treatment selection: statistical considerationsClass-imbalanced classifiers for high-dimensional dataLipidomic analyses in epidemiology.Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis.Cross-study validation for the assessment of prediction algorithms.Assessment of performance of survival prediction models for cancer prognosisA composite model for subgroup identification and prediction via bicluster analysisThe Marker State Space (MSS) method for classifying clinical samples.Highly immunoreactive IgG antibodies directed against a set of twenty human proteins in the sera of patients with amyotrophic lateral sclerosis identified by protein array.Subgroup identification for treatment selection in biomarker adaptive designPrediction system for rapid identification of Salmonella serotypes based on pulsed-field gel electrophoresis fingerprints.Sex-specific genomic biomarkers for individualized treatment of life-threatening diseases.Characteristics and Validation Techniques for PCA-Based Gene-Expression Signatures.Pharmacogenomic biomarkers for personalized medicine.Computational models for predicting drug responses in cancer research.PAA: an R/bioconductor package for biomarker discovery with protein microarrays.Constraint programming based biomarker optimization.Identification of drug-induced toxicity biomarkers for treatment determination.A critical assessment of feature selection methods for biomarker discovery in clinical proteomics.A jackknife and voting classifier approach to feature selection and classification.RIFS: a randomly restarted incremental feature selection algorithm.A frequency-based gene selection method to identify robust biomarkers for radiation dose prediction.Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain.FTIR spectroscopy of biofluids revisited: an automated approach to spectral biomarker identification.Adaptive neuro-fuzzy inference system for classification of background EEG signals from ESES patients and controls.
P2860
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P2860
Development of biomarker classifiers from high-dimensional data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Development of biomarker classifiers from high-dimensional data.
@ast
Development of biomarker classifiers from high-dimensional data.
@en
type
label
Development of biomarker classifiers from high-dimensional data.
@ast
Development of biomarker classifiers from high-dimensional data.
@en
prefLabel
Development of biomarker classifiers from high-dimensional data.
@ast
Development of biomarker classifiers from high-dimensional data.
@en
P356
P1476
Development of biomarker classifiers from high-dimensional data.
@en
P2093
James J Chen
Songjoon Baek
P304
P356
10.1093/BIB/BBP016
P50
P577
2009-04-03T00:00:00Z