iACP-GAEnsC: Evolutionary genetic Algorithm based Ensemble Classification of Anticancer Peptides by utilizing Hybridd Feature space

Publication date: Available online 17 June 2017 Source:Artificial Intelligence in Medicine Author(s): Shahid Akbar, Maqsood Hayat, Muhammad Iqbal, Mian Ahmad Jan Cancer is a fatal disease, responsible for one-quarter of all deaths in developed countries. Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive, susceptible to errors and ineffective techniques. These conventional techniques induce severe side-effects on human cells. Due to perilous impact of cancer, the development of an accurate and highly efficient intelligent computational model is desirable for identification of anticancer peptides. In this paper, evolutionary intelligent genetic algorithm-based ensemble model, 'iACP-GAEnsC', is proposed for the identification of anticancer peptide...

MedWorm Message: Have you tried our new medical search engine? More powerful than before. Log on with your social media account. 100% free.

from ! Medicine by Alexandros G. Sfakianakis via alwin on Inoreader http://ift.tt/2tnN239
via IFTTT