Incorporating predictor network in penalized regression with application to microarray data.
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Weighted-SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genesBayesHammer: Bayesian clustering for error correction in single-cell sequencingStatistical Methods in Integrative GenomicsIntegrating external biological knowledge in the construction of regulatory networks from time-series expression data.A hierarchical semiparametric model for incorporating intergene information for analysis of genomic data.Network-based regularization for matched case-control analysis of high-dimensional DNA methylation data.Network-based penalized regression with application to genomic data.Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.A bayesian framework that integrates heterogeneous data for inferring gene regulatory networksNETWORK-REGULARIZED HIGH-DIMENSIONAL COX REGRESSION FOR ANALYSIS OF GENOMIC DATA.Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.Network-based support vector machine for classification of microarray samples.Support Vector Machines with Disease-gene-centric Network Penalty for High Dimensional Microarray Data.Molecular pathway identification using biological network-regularized logistic modelsAn overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.An argument for mechanism-based statistical inference in cancer.Enhanced construction of gene regulatory networks using hub gene informationIntegrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information.Joint Bayesian variable and graph selection for regression models with network-structured predictorsA significance test for graph-constrained estimationNetwork-based multiple locus linkage analysis of expression traitsA Selective Review of Group Selection in High-Dimensional Models.Incorporating biological information in sparse principal component analysis with application to genomic data.Integrative analysis of multiple genomic variables using a hierarchical Bayesian model.Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence.The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression.INCORPORATING BIOLOGICAL INFORMATION INTO LINEAR MODELS: A BAYESIAN APPROACH TO THE SELECTION OF PATHWAYS AND GENES.A BAYESIAN NONPARAMETRIC MIXTURE MODEL FOR SELECTING GENES AND GENE SUBNETWORKS.miRNA-target gene regulatory networks: A Bayesian integrative approach to biomarker selection with application to kidney cancer.MARGINAL EMPIRICAL LIKELIHOOD AND SURE INDEPENDENCE FEATURE SCREENING.Simultaneous grouping pursuit and feature selection over an undirected graph.A Two-Step Penalized Regression Method with Networked Predictors.Statistical Contributions to Bioinformatics: Design, Modeling, Structure Learning, and Integration.Classification and survival prediction for early-stage lung adenocarcinoma and squamous cell carcinoma patients.Sparse Regression Incorporating Graphical Structure among Predictors.Leveraging external knowledge on molecular interactions in classification methods for risk prediction of patients.Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms
P2860
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P2860
Incorporating predictor network in penalized regression with application to microarray data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Incorporating predictor networ ...... pplication to microarray data.
@ast
Incorporating predictor networ ...... pplication to microarray data.
@en
type
label
Incorporating predictor networ ...... pplication to microarray data.
@ast
Incorporating predictor networ ...... pplication to microarray data.
@en
prefLabel
Incorporating predictor networ ...... pplication to microarray data.
@ast
Incorporating predictor networ ...... pplication to microarray data.
@en
P2093
P2860
P1433
P1476
Incorporating predictor networ ...... pplication to microarray data.
@en
P2093
Benhuai Xie
Xiaotong Shen
P2860
P304
P356
10.1111/J.1541-0420.2009.01296.X
P407
P577
2009-07-23T00:00:00Z