ArticleBMC bioinformatics2025
Redefining the high variable genes by optimized LOESS regression with positive ratio.
Article in BMC bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Feature Importance Bias and Competing Risks: Methodological Concerns in Ensemble Models for Diabetic Kidney Disease.Diabetes, obesity & metabolism · 2026Article
- Response letter to Oka et al.'s letter to the editor.The journal of pain · 2026Article
- Addressing biases and limitations in feature attribution for circRNA modification profiling.Briefings in bioinformatics · 2026Article
- Revisiting AI Interpretability in Precision Oncology: Why Predictive Accuracy Does Not Ensure Stable Feature Importance.Cancers · 2026Article
- Temporal trends and geographical variations in pediatric urinary tract infections: a comprehensive analysis using the global burden of disease study 2021.Tropical medicine and health · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundSingle-cell RNA sequencing allows for the exploration of transcriptomic features at the individual cell level, but the high dimensionality and sparsity of the data pose substantial challenges for downstream analysis. Feature selection, therefore, is a critical step to reduce dimensionality and enhance interpretability.
resultsWe developed a robust feature selection algorithm that leverages optimized locally estimated scatterplot smoothing regression (LOESS) to precisely capture the relationship between gene average expression level and positive ratio while minimizing overfitting. Our evaluations showed that our algorithm consistently outperforms eight leading feature selection methods across three benchmark criteria and helps improve downstream analysis, thus offering a significant improvement in gene subset selection.
conclusionsBy preserving key biological information through feature selection, GLP provides informative features to enhance the accuracy and effectiveness of downstream analyses.
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Registered trials
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