Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning

Orphan genes are associated with regulatory patterns, but experimental methods for identifying orphan genes are both time-consuming and expensive. Designing an accurate and robust classification model to detect orphan and non-orphan genes in unbalanced distribution datasets poses a particularly huge...

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Detalles Bibliográficos
Autores principales: Gao, Qijuan, Jin, Xiu, Xia, Enhua, Wu, Xiangwei, Gu, Lichuan, Yan, Hanwei, Xia, Yingchun, Li, Shaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567012/
https://www.ncbi.nlm.nih.gov/pubmed/33133122
http://dx.doi.org/10.3389/fgene.2020.00820

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567012/
https://www.ncbi.nlm.nih.gov/pubmed/33133122
http://dx.doi.org/10.3389/fgene.2020.00820

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