Penalized feature selection and classification in bioinformatics.
about
Lipidomic analyses in epidemiology.Detection of gene pathways with predictive power for breast cancer prognosis.Incorporating gene co-expression network in identification of cancer prognosis markers.Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput dataIdentification of genes associated with multiple cancers via integrative analysis.A comparative study of improvements Pre-filter methods bring on feature selection using microarray dataRegularized gene selection in cancer microarray meta-analysisIdentification of cancer-associated gene clusters and genes via clustering penalization.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.MicroRNA-integrated and network-embedded gene selection with diffusion distanceIncorporating higher-order representative features improves prediction in network-based cancer prognosis analysis.Elastic net-based framework for imaging mass spectrometry data biomarker selection and classification.Semiparametric prognosis models in genomic studies.Similarity of markers identified from cancer gene expression studies: observations from GEODrug activity prediction using multiple-instance learning via joint instance and feature selectionCombining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA.Risk Factors of Non-Hodgkin LymphomaPrincipal component analysis based methods in bioinformatics studies.A regression-based differential expression detection algorithm for microarray studies with ultra-low sample sizeSparse multi-view matrix factorization: a multivariate approach to multiple tissue comparisons.Unravelling personalized dysfunctional gene network of complex diseases based on differential network modelCommon Marker Genes Identified from Various Sample Types for Systemic Lupus Erythematosus.Measures for the degree of overlap of gene signatures and applications to TCGA.TarPmiR: a new approach for microRNA target site predictionPerformance of feature selection methods.A review of statistical methods for prediction of proteolytic cleavage.Automatic prediction of rheumatoid arthritis disease activity from the electronic medical recordsDetecting pairwise interactive effects of continuous random variables for bimarker identification with small sample size.Extracting patterns of morphometry distinguishing HIV associated neurodegeneration from mild cognitive impairment via group cardinality constrained classification.Computing group cardinality constraint solutions for logistic regression problems.Analyzing Association Mapping in Pedigree-Based GWAS Using a Penalized Multitrait Mixed Model.Characterization of the effectiveness of reporting lists of small feature sets relative to the accuracy of the prior biological knowledge.Variable selection using the optimal ROC curve: an application to a traditional Chinese medicine study on osteoporosis disease.Classification and differential metabolite discovery of liver diseases based on plasma metabolic profiling and support vector machines.Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods.Robust Feature Selection Approach for Patient Classification using Gene Expression Data.Analysis of cancer gene expression data with an assisted robust marker identification approach.A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis
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Penalized feature selection and classification in bioinformatics.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on 18 June 2008
@en
vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Penalized feature selection and classification in bioinformatics.
@en
Penalized feature selection and classification in bioinformatics.
@nl
type
label
Penalized feature selection and classification in bioinformatics.
@en
Penalized feature selection and classification in bioinformatics.
@nl
prefLabel
Penalized feature selection and classification in bioinformatics.
@en
Penalized feature selection and classification in bioinformatics.
@nl
P2860
P356
P1476
Penalized feature selection and classification in bioinformatics.
@en
P2093
Jian Huang
Shuangge Ma
P2860
P304
P356
10.1093/BIB/BBN027
P577
2008-06-18T00:00:00Z