Rafsanjani Muhammod

ACP-MHCNN is a deep convolutional neural network for anticancer peptide identification that outperforms existing methods in multiple metrics.

CluSem improves MI-EEG classification accuracy by 5-15% using a clustering-based ensemble method and is evaluated in a brain game called CluGame.

SubFeat predicts functionalities of DNA, RNA, and protein sequences using an ensemble classifier, outperforming existing methods on four datasets.