ArticleBioData mining2017
EFS: an ensemble feature selection tool implemented as R-package and web-application.
Article in BioData mining, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed.
- Extracellular Vesicles from Bronchoalveolar Lavage Fluid Indicate Early Biomarker Potential and Differentiate Local Lung Injury in a Porcine Model of Asymmetric Acute Lung Injury.International journal of molecular sciences · 2026Article
- Plasma proteomic and metabolomic profiling reveals molecular features relevant to neoadjuvant therapy response in locally advanced esophageal squamous cell carcinoma.Molecular cancer · 2026Article
- Multi-omic signatures of host response associated with presence, type, and outcome of enterococcal bacteremia.mSystems · 2025Article
- Combined urine proteomics and metabolomics analysis for the diagnosis of pulmonary tuberculosis.Clinical proteomics · 2024Article
- Crohn's Patient Serum Proteomics Reveals Response Signature for Infliximab but not Vedolizumab.Inflammatory bowel diseases · 2024Article
- POLAR: prediction of prolonged mechanical ventilation in patients with myasthenic crisis.Journal of neurology · 2024Article
- Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria.Infection · 2023Article
- Nomogram for Predicting Early Mortality after Umbilical Cord Blood Transplantation in Children with Inborn Errors of Immunity.Journal of clinical immunology · 2023Article
- Article
- A Novel Risk Calculator Incorporating Clinical Parameters, Multiparametric Magnetic Resonance Imaging, and Prostate-Specific Membrane Antigen Positron Emission Tomography for Prostate Cancer Risk Stratification Before Transperineal Prostate Biopsy.European urology open science · 2023Article
- Metabolite and Proteomic Profiling of Serum Reveals the Differences in Molecular Immunity between Min and Large White Pig Breeds.International journal of molecular sciences · 2023Article
- Circulating microparticle proteins predict pregnancies complicated by placenta accreta spectrum.Scientific reports · 2023Article
- Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study.Frontiers in public health · 2023Article
- Novel protein biomarkers for pneumonia and acute exacerbations in COPD: a pilot study.Frontiers in medicine · 2023Article
- Eleven quick tips for data cleaning and feature engineering.PLoS computational biology · 2022Article
- Vision for Improving Pregnancy Health: Innovation and the Future of Pregnancy Research.Reproductive sciences (Thousand Oaks, Calif.) · 2022Review
- Differentiation of autism spectrum disorder and mood or anxiety disorder.Autism : the international journal of research and practice · 2022Article
- A Clinical Decision Support System for the Prediction of Quality of Life in ALS.Journal of personalized medicine · 2022Article
- Dissecting the Genome for Drug Response Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Transcriptome-Wide Analysis of Human Liver Reveals Age-Related Differences in the Expression of Select Functional Gene Clusters and Evidence for a PPP1R10-Governed 'Aging Cascade'.Pharmaceutics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFeature selection methods aim at identifying a subset of features that improve the prediction performance of subsequent classification models and thereby also simplify their interpretability. Preceding studies demonstrated that single feature selection methods can have specific biases, whereas an ensemble feature selection has the advantage to alleviate and compensate for these biases.
resultsThe software EFS (Ensemble Feature Selection) makes use of multiple feature selection methods and combines their normalized outputs to a quantitative ensemble importance. Currently, eight different feature selection methods have been integrated in EFS, which can be used separately or combined in an ensemble.
conclusionEFS identifies relevant features while compensating specific biases of single methods due to an ensemble approach. Thereby, EFS can improve the prediction accuracy and interpretability in subsequent binary classification models. AVAILABILITY: EFS can be downloaded as an R-package from CRAN or used via a web application at http://EFS.heiderlab.de.
Indexed as
Identifiers
What OpenQuestion holds
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.