Cross-validated Cox regression on microarray gene expression data.
about
Boosting the concordance index for survival data--a unified framework to derive and evaluate biomarker combinations.Transforming RNA-Seq data to improve the performance of prognostic gene signatures.Investigating the prediction ability of survival models based on both clinical and omics data: two case studies.Identification of a prognostic signature for old-age mortality by integrating genome-wide transcriptomic data with the conventional predictors: the Vitality 90+ Study.Censored Rank Independence Screening for High-dimensional Survival Data.Predicting survival from microarray data--a comparative study.Indirect genomic effects on survival from gene expression dataAssessment of survival prediction models based on microarray data.A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?Comparative optimism in models involving both classical clinical and gene expression information.Survival prediction from clinico-genomic models--a comparative study.Gene expression profile for predicting survival in advanced-stage serous ovarian cancer across two independent datasets.Kernel based methods for accelerated failure time model with ultra-high dimensional data.Assessment of evaluation criteria for survival prediction from genomic data.Using cross-validation to evaluate predictive accuracy of survival risk classifiers based on high-dimensional data.An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.Survival associated pathway identification with group Lp penalized global AUC maximization.Survival models with preclustered gene groups as covariates.Gene expression profiling for survival prediction in pediatric rhabdomyosarcomas: a report from the children's oncology group.Biclustering reveals breast cancer tumour subgroups with common clinical features and improves prediction of disease recurrenceAssessment of reproducibility of cancer survival risk predictions across medical centersNetwork-based survival analysis reveals subnetwork signatures for predicting outcomes of ovarian cancer treatment.Survival prediction and gene identification with penalized global AUC maximization.A regression-based differential expression detection algorithm for microarray studies with ultra-low sample sizeForward Stagewise Shrinkage and Addition for High Dimensional Censored Regression.Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer.Comparison of Cox Model Methods in A Low-dimensional Setting with Few EventsSurvival analysis with high-dimensional covariates.Cox models with dynamic ridge penalties on time-varying effects of the covariates.Methylation profiling with a panel of cancer related genes: association with estrogen receptor, TP53 mutation status and expression subtypes in sporadic breast cancer.The Spike-and-Slab Lasso Cox Model for Survival Prediction and Associated Genes Detection.Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: Meta-analysis with a joint model.Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach.Cancer Markers Selection Using Network-Based Cox Regression: A Methodological and Computational Practice.Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent.Nonidentical twins: Comparison of frequentist and Bayesian lasso for Cox models.Boosting multi-state models.A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction.Novel harmonic regularization approach for variable selection in Cox's proportional hazards model.Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
P2860
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P2860
Cross-validated Cox regression on microarray gene expression data.
description
2006 nî lūn-bûn
@nan
2006 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Cross-validated Cox regression on microarray gene expression data.
@ast
Cross-validated Cox regression on microarray gene expression data.
@en
type
label
Cross-validated Cox regression on microarray gene expression data.
@ast
Cross-validated Cox regression on microarray gene expression data.
@en
prefLabel
Cross-validated Cox regression on microarray gene expression data.
@ast
Cross-validated Cox regression on microarray gene expression data.
@en
P2093
P356
P1476
Cross-validated Cox regression on microarray gene expression data.
@en
P2093
Augustinus A M Hart
Hans C van Houwelingen
Laura J Van't Veer
Lodewyk F A Wessels
Tako Bruinsma
P304
P356
10.1002/SIM.2353
P407
P577
2006-09-01T00:00:00Z