PlantLncBoost: key features for plant lncRNA identification and significant improvement in accuracy and generalization.

ABSTRACT: Long noncoding RNAs (lncRNAs) are critical regulators of numerous biological processes in plants. Nevertheless, their identification is challenging due to the low sequence conservation across various species. Existing computational methods for lncRNA identification often face difficulties in generalizing across diverse plant species, highlighting the need for more robust and versatile identification models. Here, we present PlantLncBoost, a novel computational tool designed to improve the generalization in plant lncRNA identification. By integrating advanced gradient boosting algorithms with comprehensive feature selection, our approach achieves both high accuracy and generalizability. We conducted an extensive analysis of 1662 features and identified three key features - ORF coverage, com

SUBMITTER: Tian XC 

PROVIDER: S-EPMC12222927 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature