Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.
about
Feature selection and classification for microarray data analysis: evolutionary methods for identifying predictive genes.The Applications of Genetic Algorithms in MedicineA Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataIdentification of single- and multiple-class specific signature genes from gene expression profiles by group marker indexLinking Genes to Cardiovascular Diseases: Gene Action and Gene-Environment Interactions.Evaluating microarray-based classifiers: an overviewGenomics: moving behavioural ecology beyond the phenotypic gambitDifferential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data.Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data.Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data.Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines.Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data.Genetic algorithms applied to multi-class clustering for gene expression dataDifferential and trajectory methods for time course gene expression data.A survey of methods for classification of gene expression data using evolutionary algorithms.A new pheromone trail-based genetic algorithm for comparative genome assembly.Gene selection algorithm by combining reliefF and mRMRMerging microarray data, robust feature selection, and predicting prognosis in prostate cancer.Analysis of DNA microarray expression dataA multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.Deducing corticotropin-releasing hormone receptor type 1 signaling networks from gene expression data by usage of genetic algorithms and graphical Gaussian modelsAnalysis of normal-tumour tissue interaction in tumours: prediction of prostate cancer features from the molecular profile of adjacent normal cells.Analysis of biological features associated with meiotic recombination hot and cold spots in Saccharomyces cerevisiaeAnalyzing kernel matrices for the identification of differentially expressed genes.Using DNA microarrays for diagnostic and prognostic prediction.Feature selection and molecular classification of cancer using genetic programmingComparison of the predictive accuracy of DNA array-based multigene classifiers across cDNA arrays and Affymetrix GeneChips.Social context in gene-environment interactions: retrospect and prospect.Development and Validation of Biomarker Classifiers for Treatment SelectionDNA microarrays: a powerful genomic tool for biomedical and clinical research.Melanoma prognostic model using tissue microarrays and genetic algorithms.Construction and analysis of multiparameter prognostic models for melanoma outcomeBiomarker discovery using statistically significant gene setsCuckoo search epistasis: a new method for exploring significant genetic interactions.Multiclass cancer classification and biomarker discovery using GA-based algorithms.A genetic programming-based approach to the classification of multiclass microarray datasets.A Novel Immune Marker Model Predicts Oncological Outcomes of Patients with Colorectal Cancer.
P2860
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P2860
Genetic algorithms applied to multi-class prediction for the analysis of gene expression data.
description
2003 nî lūn-bûn
@nan
2003 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Genetic algorithms applied to ...... lysis of gene expression data.
@ast
Genetic algorithms applied to ...... lysis of gene expression data.
@en
type
label
Genetic algorithms applied to ...... lysis of gene expression data.
@ast
Genetic algorithms applied to ...... lysis of gene expression data.
@en
prefLabel
Genetic algorithms applied to ...... lysis of gene expression data.
@ast
Genetic algorithms applied to ...... lysis of gene expression data.
@en
P356
P1433
P1476
Genetic algorithms applied to ...... lysis of gene expression data.
@en
P2093
P356
10.1093/BIOINFORMATICS/19.1.37
P407
P577
2003-01-01T00:00:00Z