ArticleBioMed research international2017
Joint Covariate Detection on Expression Profiles for Selecting Prognostic miRNAs in Glioblastoma.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Pooled it
- Prognostic Role of MicroRNA 222 in Patients with Glioma: A Meta-analysis.BioMed research international · 2020Pooled it
- Prognostic Significance of MicroRNAs in Glioma: A Systematic Review and Meta-Analysis.BioMed research international · 2019Pooled it
- Stepwise detection and evaluation reveal miR-10b and miR-222 as a remarkable prognostic pair for glioblastoma.Oncogene · 2019Article
- JCD-DEA: a joint covariate detection tool for differential expression analysis on tumor expression profiles.BMC bioinformatics · 2019Article
- JCDSA: a joint covariate detection tool for survival analysis on tumor expression profiles.BMC bioinformatics · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An important application of expression profiles is to stratify patients into high-risk and low-risk groups using limited but key covariates associated with survival outcomes. Prior to that, variables considered to be associated with survival outcomes are selected. A combination of single variables, each of which is significantly related to survival outcomes, is always regarded to be candidates for posterior patient stratification. Instead of individually significant variables, a combination that contains not only significant but also insignificant variables is supposed to be concentrated on. By means of bottom-up enumeration on each pair of variables, we propose a joint covariate detection strategy to select candidates that not only correspond to close association with survival outcomes but also help to make a clear stratification of patients. Experimental results on a publicly available dataset of glioblastoma multiforme indicate that the selected pair composed of an individually significant and an insignificant miRNA keeps a better performance than the combination of significant single variables. The selected miRNA pair is ultimately regarded to be associated with the prognosis of glioblastoma multiforme by further pathway analysis.
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Registered trials
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