ArticleBiometrics2009
Shrinkage-based diagonal discriminant analysis and its applications in high-dimensional data.
Article in Biometrics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trials.BMC medical research methodology · 2017Trial
- Enhancing the preoperative differentiation of ameloblastoma and odontogenic keratocyst using pathomics-guided radiomics: a pilot study.BMC oral health · 2026Article
- Better-than-chance classification for signal detection.Biostatistics (Oxford, England) · 2021Article
- Sparse Linear Discriminant Analysis using the Prior-Knowledge-Guided Block Covariance Matrix.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2020Article
- Comparison of Variable Selection Methods for Time-to-Event Data in High-Dimensional Settings.Computational and mathematical methods in medicine · 2020Article
- Article
- NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.BMC bioinformatics · 2016Article
- Boosting for high-dimensional two-class prediction.BMC bioinformatics · 2015Article
- Block-diagonal discriminant analysis and its bias-corrected rules.Statistical applications in genetics and molecular biology · 2013Article
- Sample size considerations of prediction-validation methods in high-dimensional data for survival outcomes.Genetic epidemiology · 2013Article
- Improved shrunken centroid classifiers for high-dimensional class-imbalanced data.BMC bioinformatics · 2013Article
- Gene network modular-based classification of microarray samples.BMC bioinformatics · 2012Article
- Improved mean estimation and its application to diagonal discriminant analysis.Bioinformatics (Oxford, England) · 2012Article
- Article
- Analysing breast cancer microarrays from African Americans using shrinkage-based discriminant analysis.Human genomics · 2010Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
High-dimensional data such as microarrays have brought us new statistical challenges. For example, using a large number of genes to classify samples based on a small number of microarrays remains a difficult problem. Diagonal discriminant analysis, support vector machines, and k-nearest neighbor have been suggested as among the best methods for small sample size situations, but none was found to be superior to others. In this article, we propose an improved diagonal discriminant approach through shrinkage and regularization of the variances. The performance of our new approach along with the existing methods is studied through simulations and applications to real data. These studies show that the proposed shrinkage-based and regularization diagonal discriminant methods have lower misclassification rates than existing methods in many cases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.