ArticleFrontiers in genetics2021
Feature Selection of OMIC Data by Ensemble Swarm Intelligence Based Approaches.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- When complexity does not pay: benchmarking deep learning and ensemble methods for biomarker discovery.Briefings in bioinformatics · 2026Article
- Predicting macrosomia and low birth weight with interpretable machine learning.BMC pregnancy and childbirth · 2026Article
- Overexpression of PtrCWINV2 accelerates shoot growth and wood development in hybrid poplar (Populus davidiana × Populus bolleana).Plant cell reports · 2025Article
- A novel glutamine metabolism-related risk model for prognostic prediction of liver hepatocellular carcinoma.Oncology letters · 2025Article
- Identification of Prognostic Genes in Acute Myeloid Leukemia Microenvironment: A Bioinformatic and Experimental Analysis.Molecular biotechnology · 2025Article
- Generation and characterization of human-induced pluripotent stem cell lines from patients with autism spectrum disorder and SCN2A variants.Human cell · 2025Article
- Adipose gene expression profiles in Northern Finncattle, Mirandesa cattle, Yakutian cattle and commercial Holstein cattle.Scientific reports · 2024Article
- Potential Signature Therapeutic Biomarkers TOP2A, MAD2L1, and CDK1 in Colorectal Cancer: A Systems Biomedicine-Based Approach.Biochemical genetics · 2024Article
- Unravelling infiltrating T-cell heterogeneity in kidney renal clear cell carcinoma: Integrative single-cell and spatial transcriptomic profiling.Journal of cellular and molecular medicine · 2024Article
- Identification of crucial genes through WGCNA in the progression of gastric cancer.Journal of Cancer · 2024Article
- Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma.BMC medical genomics · 2023Article
- Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma.Frontiers in endocrinology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
OMIC datasets have high dimensions, and the connection among OMIC features is very complicated. It is difficult to establish linkages among these features and certain biological traits of significance. The proposed ensemble swarm intelligence-based approaches can identify key biomarkers and reduce feature dimension efficiently. It is an end-to-end method that only relies on the rules of the algorithm itself, without presets such as the number of filtering features. Additionally, this method achieves good classification accuracy without excessive consumption of computing resources.
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