Correction: Chen et al. Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis. Int. J. Mol. Sci. 2025, 26, 1203

Key Points

• This research aims to understand the mechanisms behind VVTT infection using advanced techniques.
• Utilized machine learning algorithms to analyze data.
• Conducted transcriptome analysis to identify gene expression patterns.
• Examined pathways associated with VVTT infection.
• Comparative analysis with existing models of infection.
• Identified key biomarkers linked to VVTT infection.
• Revealed specific molecular pathways involved in the infection.
• Demonstrated the potential of machine learning in infectious disease research.

Abstract