ArticleEvolutionary applications2018
Applications of random forest feature selection for fine-scale genetic population assignment.
Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- A Genomic Method for Combating Wildlife Trafficking: SNP-Based Traceability of Four Endangered Species in China.Animals : an open access journal from MDPI · 2026Article
- High-Accuracy Chicken Breed Identification Using Microsatellite Genotype Data and AutoGluon Framework.Biology · 2025Article
- Machine learning-based discovery of informative SNPs for population assignment through whole genome sequencing.BMC genomics · 2025Article
- Fault Diagnosis of Planetary Gearboxes Based on LSTM Improved via Feature Extraction Using VMD, Fusion Entropy, and Random Forest.Entropy (Basel, Switzerland) · 2025Article
- Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.Molecular ecology resources · 2025Article
- Enhancing blockchain transaction classification with ensemble learning approaches.Scientific reports · 2025Article
- Unlocking the geography of Azobé timber (Lophira alata): revealing spatial genetic structure beyond species boundaries.BMC plant biology · 2025Article
- Radiomics based on multiple machine learning methods for diagnosing early bone metastases not visible on CT images.Skeletal radiology · 2025Article
- Artificial Intelligence (AI)-driven approach to climate action and sustainable development.Nature communications · 2025Article
- Radiomics based onQuantitative imaging in medicine and surgery · 2025Article
- Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.PloS one · 2025Article
- Consequences of domestication in eastern oyster: Insights from whole genomic analyses.Evolutionary applications · 2024Article
- Single-nucleus transcriptomic analysis reveals the relationship between gene expression in oligodendrocyte lineage and major depressive disorder.Journal of translational medicine · 2024Article
- PET-based radiomic feature based on the cross-combination method for predicting the mid-term efficacy and prognosis in high-risk diffuse large B-cell lymphoma patients.Frontiers in oncology · 2024Article
- Are rabid raccoons (Evolutionary applications · 2023Article
- Motor imagery classification using sparse representations: an exploratory study.Scientific reports · 2023Article
- Versatile Detection of Diverse Selective Sweeps with Flex-Sweep.Molecular biology and evolution · 2023Article
- From STRs to SNPs via ddRAD-seq: Geographic assignment of confiscated tortoises at reduced costs.Evolutionary applications · 2022Article
- Optimal PET-based radiomic signature construction based on the cross-combination method for predicting the survival of patients with diffuse large B-cell lymphoma.European journal of nuclear medicine and molecular imaging · 2022Article
- Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown.Health and technology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic population assignment used to inform wildlife management and conservation efforts requires panels of highly informative genetic markers and sensitive assignment tests. We explored the utility of machine-learning algorithms (random forest, regularized random forest and guided regularized random forest) compared with
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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.