Accurately predicting anticancer peptide using an ensemble of heterogeneously trained classifiers

The use of therapeutic peptides for the treatment of cancer has received tremendous attention in recent years. Anticancer peptides (ACPs) are considered new anticancer drugs which have several advantages over chemistry-based drugs including high specificity, strong tumor penetration capacity, and lo...

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Principais autores:	Sayed Mehedi Azim, Noor Hossain Nuri Sabab, Iman Noshadi, Hamid Alinejad-Rokny, Alok Sharma, Swakkhar Shatabda, Iman Dehzangi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2023-01-01
Series:	Informatics in Medicine Unlocked
Assuntos:	Anticancer peptides Random Forest Machine learning Ensemble learning Feature extraction Heterogeneous classifiers
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2352914823001946
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