MegaPlantTF: a machine learning framework for comprehensive identification and classification of plant transcription factors.

ABSTRACT:

Motivation

Understanding the role of transcription factors (TFs) in plants is essential for the study of gene regulation and various biological processes. However, both TF detection and classification remain challenging due to the great diversity and complexity of these proteins. Conventional approaches, such as BLAST, often suffer from high computational complexity and limited performance on less common TF families.

Results

We introduce MegaPlantTF, the first comprehensive machine learning and deep learning framework for the prediction (TF versus non-TF) and classification (family-level) of plant TFs. Our method employs k-mer-based protein representations and a two-stage architecture combining a deep feed-forward neural network with a stacking ensemble classifier. To ensure

SUBMITTER: Akotenou G 

PROVIDER: S-EPMC12803907 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature