about
Entropy-based gene ranking without selection bias for the predictive classification of microarray dataEnvironmental mold and mycotoxin exposures elicit specific cytokine and chemokine responsesSDED: a novel filter method for cancer-related gene selectionSelection bias in gene extraction on the basis of microarray gene-expression data.A classification-based machine learning approach for the analysis of genome-wide expression dataA kernel-based multivariate feature selection method for microarray data classificationClassification of a large microarray data set: algorithm comparison and analysis of drug signatures.A stable gene selection in microarray data analysis.Three methods for optimization of cross-laboratory and cross-platform microarray expression data.Gene selection for classification of microarray data based on the Bayes error.On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curveProfiling alternatively spliced mRNA isoforms for prostate cancer classification.A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.Selecting dissimilar genes for multi-class classification, an application in cancer subtypingA stable iterative method for refining discriminative gene clusters.Fuzzy logic for elimination of redundant information of microarray data.An empirical study of univariate and genetic algorithm-based feature selection in binary classification with microarray data.MIClique: An algorithm to identify differentially coexpressed disease gene subset from microarray data.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.BDVal: reproducible large-scale predictive model development and validation in high-throughput datasets.Analysis of biological features associated with meiotic recombination hot and cold spots in Saccharomyces cerevisiaeEnsemble Classification of Cancer Types and Biomarker IdentificationFinding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification.Gene selection for multiclass prediction by weighted Fisher criterionFinding top-k covering irreducible contrast sequence rules for disease diagnosis.Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology.Automated feature set selection and its application to MCC identification in digital mammograms for breast cancer detection.Fusing Gene Interaction to Improve Disease Discrimination on Classification Analysis.Combining multiple microarray studies using bootstrap meta-analysis.A classification framework applied to cancer gene expression profiles.Identification of Marker Genes for Cancer Based on Microarrays Using a Computational Biology Approach.Biomarker discovery using statistically significant gene setsEmerging translational bioinformatics: knowledge-guided biomarker identification for cancer diagnostics.Generalized T2 test for genome association studies.Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data.Unsupervised gene selection using biological knowledge : application in sample clustering.Feature selection of gene expression data for Cancer classification using double RBF-kernelsNovel ensemble method for the prediction of response to fluvoxamine treatment of obsessive-compulsive disorder
P2860
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P2860
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh
2001年學術文章
@zh-hant
name
Biomarker identification by feature wrappers.
@en
type
label
Biomarker identification by feature wrappers.
@en
prefLabel
Biomarker identification by feature wrappers.
@en
P2093
P2860
P356
P1433
P1476
Biomarker identification by feature wrappers.
@en
P2093
P2860
P304
P356
10.1101/GR.190001
P577
2001-11-01T00:00:00Z