A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.
about
A combinational feature selection and ensemble neural network method for classification of gene expression dataSelecting genes by test statisticsComparative study of classification algorithms for immunosignaturing dataPrediction of cell penetrating peptides by support vector machinesGene selection with multiple ordering criteria.Exploratory Analysis in Time-Varying Data Sets: a Healthcare Network Application.A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform.A hybrid approach for biomarker discovery from microarray gene expression data for cancer classification.FiGS: a filter-based gene selection workbench for microarray data.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.A robust gene selection method for microarray-based cancer classification.Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.Network-based Prediction of Cancer under Genetic StormPUGSVM: a caBIG™ analytical tool for multiclass gene selection and predictive classificationPerformance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief.Effective classification and gene expression profiling for the Facioscapulohumeral Muscular DystrophyComprehensive evaluation of composite gene features in cancer outcome prediction.Supervised redundant feature detection for tumor classification.Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies.Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition.A modified ant colony optimization algorithm for tumor marker gene selection.Sex-specific genomic biomarkers for individualized treatment of life-threatening diseases.Identification of Marker Genes for Cancer Based on Microarrays Using a Computational Biology Approach.Feature selection for better identification of subtypes of Guillain-Barré syndrome.Accurate and robust gene selection for disease classification using a simple statistic.Colon cancer prediction with genetic profiles using intelligent techniques.A Gene selection approach based on the fisher linear discriminant and the neighborhood rough set.An improved feature selection based on effective range for classification.
P2860
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P2860
A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
A comparative study on feature ...... ofiles and proteomic patterns.
@en
A comparative study on feature ...... ofiles and proteomic patterns.
@nl
type
label
A comparative study on feature ...... ofiles and proteomic patterns.
@en
A comparative study on feature ...... ofiles and proteomic patterns.
@nl
prefLabel
A comparative study on feature ...... ofiles and proteomic patterns.
@en
A comparative study on feature ...... ofiles and proteomic patterns.
@nl
P2093
P1476
A comparative study on feature ...... ofiles and proteomic patterns.
@en
P2093
Huiqing Liu
Limsoon Wong
P577
2002-01-01T00:00:00Z