A method for analyzing censored survival phenotype with gene expression data. - Wikidata - awgldk - TriplyDB

A method for analyzing censored survival phenotype with gene expression data.

A method for analyzing censored survival phenotype with gene expression data.

http://www.wikidata.org/entity/Q30848234

about

A review and comparison of methods for recreating individual patient data from published Kaplan-Meier survival curves for economic evaluations: a simulation study.Dimension reduction in survival regressions with censored data via an imputed spline approach.An efficient algorithm to explore liquid association on a genome-wide scale.Multiple functional linear model for association analysis of RNA-seq with imaging.Predicting response to radiotherapy: evolutions and revolutions.Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.Estimation of indirect effect when the mediator is a censored variable.Identification of human age-associated gene co-expressions in functional modules using liquid association.

P2860

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P2860

A method for analyzing censored survival phenotype with gene expression data.

http://www.wikidata.org/entity/Q30848234

description

2008 nî lūn-bûn

@nan

2008 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2008 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2008年の論文

@ja

2008年論文

@yue

2008年論文

@zh-hant

2008年論文

@zh-hk

2008年論文

@zh-mo

2008年論文

@zh-tw

2008年论文

@wuu

name

A method for analyzing censored survival phenotype with gene expression data.

@ast

A method for analyzing censored survival phenotype with gene expression data.

@en

type

label

A method for analyzing censored survival phenotype with gene expression data.

@ast

A method for analyzing censored survival phenotype with gene expression data.

@en

prefLabel

A method for analyzing censored survival phenotype with gene expression data.

@ast

A method for analyzing censored survival phenotype with gene expression data.

@en

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1471-2105-9-417

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BMC Bioinformatics

P1476

A method for analyzing censored survival phenotype with gene expression data.

@en

P2093

Chun-Houh Chen

http://www.w3.org/2001/XMLSchema#string

Ker-Chau Li

http://www.w3.org/2001/XMLSchema#string

Shinsheng Yuan

http://www.w3.org/2001/XMLSchema#string

Tongtong Wu

http://www.w3.org/2001/XMLSchema#string

Wei Sun

http://www.w3.org/2001/XMLSchema#string

P2860

Pellino 1 is required for interleukin-1 (IL-1)-mediated signaling through its interaction with the IL-1 receptor-associated kinase 4 (IRAK4)-IRAK-tumor necrosis factor receptor-associated factor 6 (TRAF6) complex

The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma.

Gene expression profiling predicts clinical outcome of breast cancer

A gene-expression signature as a predictor of survival in breast cancer

Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

Molecular portraits of human breast tumours

Down-regulation of RAB6KIFL/KIF20A, a kinesin involved with membrane trafficking of discs large homologue 5, can attenuate growth of pancreatic cancer cell

Partial least squares proportional hazard regression for application to DNA microarray survival data.

Dimension reduction methods for microarrays with application to censored survival data.

Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.

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1471-2105-9-417

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scholarly article

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10.1186/1471-2105-9-417

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9

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2008-10-06T00:00:00Z

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2579309

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