Gene selection using support vector machines with non-convex penalty.
about
Interaction-based feature selection and classification for high-dimensional biological dataIdentifying network biomarkers based on protein-protein interactions and expression data.MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data.Meta-analytic support vector machine for integrating multiple omics data.Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.Very Important Pool (VIP) genes--an application for microarray-based molecular signatures.Gene and pathway identification with Lp penalized Bayesian logistic regression.Regularized gene selection in cancer microarray meta-analysispenalizedSVM: a R-package for feature selection SVM classification.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.Elastic net-based framework for imaging mass spectrometry data biomarker selection and classification.Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data.Some considerations of classification for high dimension low-sample size data.Prognostic gene signatures for patient stratification in breast cancer: accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions.Targeted Local Support Vector Machine for Age-Dependent Classification.Prediction-based structured variable selection through the receiver operating characteristic curves.Sparse Modeling Reveals miRNA Signatures for Diagnostics of Inflammatory Bowel Disease.A Perturbation Method for Inference on Regularized Regression Estimates.Identification of Genes Discriminating Multiple Sclerosis Patients from Controls by Adapting a Pathway Analysis Method.Variable Selection for Support Vector Machines in Moderately High DimensionsellipsoidFN: a tool for identifying a heterogeneous set of cancer biomarkers based on gene expressions.High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profilesImproved Sparse Multi-Class SVM and Its Application for Gene Selection in Cancer Classification.Statistical Approaches for the Study of Cognitive and Brain Aging.Auxiliary marker-assisted classification in the absence of class identifiersPenalized feature selection and classification in bioinformatics.SNP selection in genome-wide association studies via penalized support vector machine with MAX test.A DSRPCL-SVM approach to informative gene analysisIdentification of differential gene pathways with principal component analysisComputational identification of putative lincRNAs in mouse embryonic stem cell.Applications of Bayesian gene selection and classification with mixtures of generalized singular g-priors.Prediction of candidate primary immunodeficiency disease genes using a support vector machine learning approach.Biomarker gene signature discovery integrating network knowledge.Finding disagreement pathway signatures and constructing an ensemble model for cancer classificationA QSAR classification model for neuraminidase inhibitors of influenza A viruses (H1N1) based on weighted penalized support vector machine.Two-Dimensional Solution Surface for Weighted Support Vector Machines.A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces.Including network knowledge into Cox regression models for biomarker signature discovery.Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification.
P2860
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P2860
Gene selection using support vector machines with non-convex penalty.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Gene selection using support vector machines with non-convex penalty.
@en
Gene selection using support vector machines with non-convex penalty.
@nl
type
label
Gene selection using support vector machines with non-convex penalty.
@en
Gene selection using support vector machines with non-convex penalty.
@nl
prefLabel
Gene selection using support vector machines with non-convex penalty.
@en
Gene selection using support vector machines with non-convex penalty.
@nl
P2093
P2860
P356
P1433
P1476
Gene selection using support vector machines with non-convex penalty.
@en
P2093
Cheolwoo Park
Hao Helen Zhang
Jeongyoun Ahn
Xiaodong Lin
P2860
P356
10.1093/BIOINFORMATICS/BTI736
P407
P577
2005-10-25T00:00:00Z