Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method.
about
Classification between normal and tumor tissues based on the pair-wise gene expression ratioGene selection algorithms for microarray data based on least squares support vector machine.Data mining in genomicsA novel strategy for gene selection of microarray data based on gene-to-class sensitivity informationPathway and network approaches for identification of cancer signature markers from omics data.Toward predicting metastatic progression of melanoma based on gene expression data.Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data.Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets.Selecting dissimilar genes for multi-class classification, an application in cancer subtypingOrder-restricted inference for ordered gene expression (ORIOGEN) data under heteroscedastic variancesDFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data.Rank-based clustering analysis for the time-course microarray data.An empirical study of univariate and genetic algorithm-based feature selection in binary classification with microarray data.Class prediction for high-dimensional class-imbalanced dataA comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data.Neighborhood rough set reduction-based gene selection and prioritization for gene expression profile analysis and molecular cancer classification.Analysis of biological features associated with meiotic recombination hot and cold spots in Saccharomyces cerevisiaeGene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling.Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification.Development and implementation of (Q)SAR modeling within the CHARMMing web-user interfaceLee Pedersen's work in theoretical and computational chemistry and biochemistryGene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithmGene selection for cancer classification with the help of beesMass spectrometry-based "omics" technologies in cancer diagnostics.Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments.Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector MachineMolecular diagnosis of human cancer type by gene expression profiles and independent component analysis.Feature Subset Selection for Cancer Classification Using Weight Local Modularity.Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke.Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification.Multiclass cancer classification and biomarker discovery using GA-based algorithms.A robust hybrid approach based on estimation of distribution algorithm and support vector machine for hunting candidate disease genes.Combination of automated high throughput platforms, flow cytometry, and hierarchical clustering to detect cell state.
P2860
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P2860
Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method.
description
2001 nî lūn-bûn
@nan
2001 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2001 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2001年の論文
@ja
2001年論文
@yue
2001年論文
@zh-hant
2001年論文
@zh-hk
2001年論文
@zh-mo
2001年論文
@zh-tw
2001年论文
@wuu
name
Gene assessment and sample cla ...... thm/k-nearest neighbor method.
@ast
Gene assessment and sample cla ...... thm/k-nearest neighbor method.
@en
type
label
Gene assessment and sample cla ...... thm/k-nearest neighbor method.
@ast
Gene assessment and sample cla ...... thm/k-nearest neighbor method.
@en
prefLabel
Gene assessment and sample cla ...... thm/k-nearest neighbor method.
@ast
Gene assessment and sample cla ...... thm/k-nearest neighbor method.
@en
P2093
P356
P1476
Gene assessment and sample cla ...... ithm/k-nearest neighbor method
@en
P2093
A J Levine
C R Weinberg
L G Pedersen
T A Darden
P304
P356
10.2174/1386207013330733
P50
P577
2001-12-01T00:00:00Z