ACP-MHCNN outperforms state-of-the-art model by 6.3%, 8.6%, 3.7%, 4.0%, and 0.20 in terms of accuracy, sensitivity, specificity, precision, and MCC respectively. ACP-MHCNN and its relevant codes and datasets are publicly available at:. ACP-MHCNN is also publicly available as an online...
ACP-MHCNN and its relevant codes and datasets are publicly available at: https://github.com/mrzResearchArena/Anticancer-Peptides-CNN . ACP-MHCNN is also publicly available as an online predictor at: https://anticancer.pythonanywhere.com/ ....
ACP-MHCNN: An Accurate Multi-Headed Deep-Convolutional Neural Network to Predict Anticancer peptidesdoi:10.1101/2020.09.25.313668Sajid AhmedRafsanjani MuhammodSheikh AdilinaZahid Hossain KhanSwakkhar ShatabdaAbdollah DehzangiCold Spring Harbor Laboratory...