Classification of DNA secondary structures by combining multiple spectral techniques with machine learning

Key Points

• The classification accuracy of DNA secondary structures reached 85% using combined spectral techniques and machine learning.
• Key evidence displays a significant 85% accuracy rate when applying various spectral techniques with machine learning.
• Assessment using multiple spectral techniques and machine learning led to effective classification of DNA structures.
• This classification may enable improved methods for identifying DNA secondary structures in biological research.