SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques

SaGP: identifying plant saline-alkali tolerance genes based on machine learning techniques

Mining novel genes underlying agronomical traits is a crucial subject in plant biology, essential for enhancing crop quality, ensuring food security, and preserving biodiversity. Wet experiments are the main methods to uncover genes with target functions but are expensive and time-consuming. Machine...

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Bibliographic Details
Main Authors: Baixue Qiao, Wentao Gao, Xudong Zhang, Min Du, Shuda Wang, Xuanrui Liu, Shaozi Pang, Chunxue Yang, Jiang Wang, Yuming Zhao, Linan Xie
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Plant Science
Subjects:
machine learning
saline-alkali tolerance genes
gene mining
feature selection
SAGP
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1629794/full
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https://www.frontiersin.org/articles/10.3389/fpls.2025.1629794/full

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