Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Additive risk survival model with microarray data

8 Jun 2007

Abstract excerpt

BACKGROUND: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with survival risks for diseases such as lymphoma and construct predictive models using those selected genes. In this article, we investigate simultaneous estimation and gene selection with right censored survival data and high dimensional...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ferroptosis and cancer prognosis
Share to Gene expression and cancer classification

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 17559667
DOI: 10.1186/1471-2105-8-192

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Additive risk survival model with microarray dataPMID 17559667Read ↗

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

Variable selection in the accelerated failure time model via the bridge method.Semantic proximity Read ↗

Improved Personalized Survival Prediction of Patients With Diffuse Large B-cell Lymphoma Using Gene Expression ProfilingSemantic proximity Read ↗

Unified Methods for Feature Selection in Large-Scale Genomic Studies with Censored Survival OutcomesSemantic proximity Read ↗

Dimension reduction methods for microarrays with application to censored survival data.Semantic proximity Read ↗

On representing the prognostic value of continuous gene expression biomarkers with the restricted mean survival curveSemantic proximity Read ↗

Incorporating prior biological knowledge for network-based differential gene expression analysis using differentially weighted graphical LASSOSemantic proximity Read ↗

Interaction screening by Kendall's partial correlation for ultrahigh-dimensional data with survival trait.Semantic proximity Read ↗

Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinomaSemantic proximity Read ↗

Identifying common prognostic factors in genomic cancer studies: A novel index for censored outcomesSemantic proximity Read ↗

Improved personalized survival prediction of patients with diffuse large B-cell Lymphoma using gene expression profilingSemantic proximity Read ↗

Favoring the hierarchical constraint in penalized survival models for randomized trials in precision medicineSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.