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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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| Pubblicato in: | Front Genet |
|---|---|
| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7567012/ https://ncbi.nlm.nih.gov/pubmed/33133122 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.00820 |
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