Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues

AI in Experiments: Present Status and Future Prospects

“…In genetic analysis, deep learning has emerged as a powerful new paradigm for DNA sequence classification, demonstrating advantages over traditional machine learning approaches. Working on tasks like metagenomic classification and chromatin state prediction shows deep network architectures that operate directly on raw DNA and can learn tailored sequence representations [16].…”