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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Bibliographic Details

Published in:	Frontiers in genetics Vol. 11; p. 820
Main Authors:	Gao, Qijuan, Jin, Xiu, Xia, Enhua, Wu, Xiangwei, Gu, Lichuan, Yan, Hanwei, Xia, Yingchun, Li, Shaowen
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 02.10.2020
Subjects:	ensemble learning Genetics orphan genes two-class unbalanced dataset XGBoost model
ISSN:	1664-8021, 1664-8021
Online Access:	Get full text
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