Active Semisupervised Model for Improving the Identification of Anticancer Peptides
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DOI: 10.1021/acsomega.1c03132
Abstract: Cancer is one of the most dangerous threats to human health. Accurate identification of anticancer peptides (ACPs) is valuable for the development and design of new anticancer agents. However, most machine-learning algorithms have limited ability… read more here.
Keywords: active semisupervised; identification anticancer; anticancer peptides; model ... See more keywords