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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Vydané v:	Frontiers in genetics Ročník 11; s. 820
Hlavní autori:	Gao, Qijuan, Jin, Xiu, Xia, Enhua, Wu, Xiangwei, Gu, Lichuan, Yan, Hanwei, Xia, Yingchun, Li, Shaowen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Frontiers Media S.A 02.10.2020
Predmet:	ensemble learning Genetics orphan genes two-class unbalanced dataset XGBoost model
ISSN:	1664-8021, 1664-8021
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