Deep Learning in DNA- and RNA-sequence Analysis: Advances and New Challenges
Bibliografia
- Das S, Pal S, Mahapatra S, et al. FMDVSerPred: A novel computational solution for foot-and-mouth disease virus classification and serotype prediction prevalent in Asia using VP1 nucleotide sequence data. Curr Bioinformat 2024; 19(9): 794-809.
- Soylu NN, Sefer E. DeepPTM: protein post-translational modification prediction from protein sequences by combining deep protein language model with vision transformers. Curr Bioinformat 2024; 19(9): 810-24.
- Chandrashekar K, Niranjan V, Vishal A, Setlur AS. Integration of artificial intelligence, machine learning and deep learning techniques in genomics: review on computational perspectives for NGS analysis of DNA and RNA seq data. Curr Bioinformat 2024; 19(9): 825-44.
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Arquivos suplementares
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