about
A comparative study of discriminating human heart failure etiology using gene expression profilesPenalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.Additive risk models for survival data with high-dimensional covariates.Using GenMAPP and MAPPFinder to view microarray data on biological pathways and identify global trends in the data.Determining Cutoff Point of Ensemble Trees Based on Sample Size in Predicting Clinical Dose with DNA Microarray DataGene and pathway identification with Lp penalized Bayesian logistic regression.Magellan: a web based system for the integrated analysis of heterogeneous biological data and annotations; application to DNA copy number and expression data in ovarian cancerClassification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.Buckley-James boosting for survival analysis with high-dimensional biomarker data.Active site prediction using evolutionary and structural information.Feature Screening via Distance Correlation LearningDetection of influent virulence and resistance genes in microarray data through quasi likelihood modeling.15 kDa Granulysin versus GM-CSF for monocytes differentiation: analogies and differences at the transcriptome level.Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.Latent Feature Decompositions for Integrative Analysis of Multi-Platform Genomic DataFeature Selection and Cancer Classification via Sparse Logistic Regression with the Hybrid L1/2 +2 Regularization.A selective review of robust variable selection with applications in bioinformaticsRegularized Quantile Regression and Robust Feature Screening for Single Index ModelsPenalized feature selection and classification in bioinformatics.Prediction-Oriented Marker Selection (PROMISE): With Application to High-Dimensional Regression.Melancholic depression prediction by identifying representative features in metabolic and microarray profiles with missing values.Low expression of VSIG4 is associated with poor prognosis in hepatocellular carcinoma patients with hepatitis B infectionIntegrated Use of Statistical-Based Approaches and Computational Intelligence Techniques for Tumors Classification Using Microarray
P2860
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P2860
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
Regression approaches for microarray data analysis.
@ast
Regression approaches for microarray data analysis.
@en
type
label
Regression approaches for microarray data analysis.
@ast
Regression approaches for microarray data analysis.
@en
prefLabel
Regression approaches for microarray data analysis.
@ast
Regression approaches for microarray data analysis.
@en
P2093
P1476
Regression approaches for microarray data analysis.
@en
P2093
Bruce R Conklin
Kam D Dahlquist
Mark R Segal
P304
P356
10.1089/106652703322756177
P577
2003-01-01T00:00:00Z