Buckley-James boosting for survival analysis with high-dimensional biomarker data. - Wikidata - awgldk - TriplyDB

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

http://www.wikidata.org/entity/Q33624066

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Random rotation survival forest for high dimensional censored data An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization Identification of breast cancer prognosis markers using integrative sparse boosting.A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction.Sparse boosting for high-dimensional survival data with varying coefficients.Project Success Prediction in Crowdfunding Environments

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Buckley-James boosting for survival analysis with high-dimensional biomarker data.

http://www.wikidata.org/entity/Q33624066

description

2010 nî lūn-bûn

@nan

2010 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

@ast

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

@en

type

label

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

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Buckley-James boosting for survival analysis with high-dimensional biomarker data.

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prefLabel

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

@ast

Buckley-James boosting for survival analysis with high-dimensional biomarker data.

@en

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Statistical Applications in Genetics and Molecular Biology

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Buckley-James boosting for survival analysis with high-dimensional biomarker data.

@en

P2093

C Y Wang

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

Zhu Wang

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

P2860

'Gene shaving' as a method for identifying distinct sets of genes with similar expression patterns

Supervised harvesting of expression trees

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

beta-Ureidopropionase deficiency: an inborn error of pyrimidine degradation associated with neurological abnormalities

Stromal gene signatures in large-B-cell lymphomas

Boosting proportional hazards models using smoothing splines, with applications to high-dimensional microarray data.

Iterative partial least squares with right-censored data analysis: a comparison to other dimension reduction techniques.

Microarray gene expression data with linked survival phenotypes: diffuse large-B-cell lymphoma revisited.

Predicting patient survival from microarray data by accelerated failure time modeling using partial least squares and LASSO.

Group additive regression models for genomic data analysis.

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Article24

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scholarly article

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10.2202/1544-6115.1550

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9

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2010-06-08T00:00:00Z

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45089009

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20597850

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