Extended dipeptide composition framework for accurate identification of anticancer peptides

Author:

Ullah Faizan,Salam Abdu,Nadeem Muhammad,Amin Farhan,AlSalman Hussain,Abrar Mohammad,Alfakih Taha

Publisher

Springer Science and Business Media LLC

Reference46 articles.

1. Sung, H. et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. https://doi.org/10.3322/caac.21660 (2021).

2. Dyba, T. et al. The European cancer burden in 2020: Incidence and mortality estimates for 40 countries and 25 major cancers. Eur. J. Cancer 157(5), 308–347 (2021).

3. Ullah, F., Salam, A., Abrar, M. & Amin, F. Brain tumor segmentation using a patch-based convolutional neural network: A big data analysis approach. Mathematics 11(10), 16–35 (2023).

4. Boman, H. G. Antibacterial peptides: basic facts and emerging concepts. J. Internal Med. 254(3), 197–215 (2003).

5. Lane, N. & Kahanda, I. DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides,". In International Conference on Practical Applications of Computational Biology & Bioinformatics (eds Panuccio, G. et al.) (Springer International Publishing, 2021).

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