mSRFR: a machine learning model using microalgal signature features for ncRNA classification

This work presents mSRFR (microalgae SMOTE Random Forest Relief model), a classification tool for noncoding RNAs (ncRNAs) in microalgae, including green algae, diatoms, golden algae, and cyanobacteria. First, the SMOTE technique was applied to address the challenge of imbalanced data due to the diff...

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Detalles Bibliográficos
Autores principales: Anuntakarun, Songtham, Lertampaiporn, Supatcha, Laomettachit, Teeraphan, Wattanapornprom, Warin, Ruengjitchatchawalya, Marasri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935802/
https://www.ncbi.nlm.nih.gov/pubmed/35313925
http://dx.doi.org/10.1186/s13040-022-00291-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8935802/
https://www.ncbi.nlm.nih.gov/pubmed/35313925
http://dx.doi.org/10.1186/s13040-022-00291-0

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