Tumor classification by partial least squares using microarray gene expression data.
about
Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression dataMulticlass classification of microarray data with repeated measurements: application to cancerConserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarraysEntropy-based gene ranking without selection bias for the predictive classification of microarray dataTumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray dataSupervised clustering of genesClustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study.Cancer characterization and feature set extraction by discriminative margin clusteringSemi-supervised methods to predict patient survival from gene expression dataSelecting genes by test statisticsClassification and selection of biomarkers in genomic data using LASSO.Computational identification of residues that modulate voltage sensitivity of voltage-gated potassium channels.A comparative study of discriminating human heart failure etiology using gene expression profilesPredicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approachThe promise of multi-omics and clinical data integration to identify and target personalized healthcare approaches in autism spectrum disordersOvercome support vector machine diagnosis overfittingInformatics derived materials databases for multifunctional propertiesMining gene expression data by interpreting principal components.Network-based identification of biomarkers coexpressed with multiple pathwaysSynergism and rules from combination of Baicalin, Jasminoidin and Desoxycholic acid in refined Qing Kai Ling for treat ischemic stroke mice modelEvaluating microarray-based classifiers: an overviewDeveloping optimal prediction models for cancer classification using gene expression data.Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression dataEstimating misclassification error: a closer look at cross-validation based methodsOn the classification of microarray gene-expression data.Stable feature selection and classification algorithms for multiclass microarray data.Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data.Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray dataMulticlass prediction with partial least square regression for gene expression data: applications in breast cancer intrinsic taxonomy.Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification.A framework for significance analysis of gene expression data using dimension reduction methods.Difference of gene expression profiles between esophageal carcinoma and its pericancerous epithelium by gene chip.Gene selection and classification from microarray data using kernel machine.Significance analysis of ROC indices for comparing diagnostic markers: applications to gene microarray data.Evaluating methods for classifying expression data.Bayesian model averaging: development of an improved multi-class, gene selection and classification tool for microarray data.Clustering gene expression data with kernel principal components.Integrative investigation of metabolic and transcriptomic dataRegularized binormal ROC method in disease classification using microarray data.Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data.
P2860
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P2860
Tumor classification by partial least squares using microarray gene expression data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Tumor classification by partial least squares using microarray gene expression data.
@ast
Tumor classification by partial least squares using microarray gene expression data.
@en
type
label
Tumor classification by partial least squares using microarray gene expression data.
@ast
Tumor classification by partial least squares using microarray gene expression data.
@en
prefLabel
Tumor classification by partial least squares using microarray gene expression data.
@ast
Tumor classification by partial least squares using microarray gene expression data.
@en
P356
P1433
P1476
Tumor classification by partial least squares using microarray gene expression data.
@en
P2093
Danh V Nguyen
David M Rocke
P356
10.1093/BIOINFORMATICS/18.1.39
P407
P577
2002-01-01T00:00:00Z