Essential protein identification by a bootstrap k-nearest neighbor method based on improved edge clustering coecient

Essential proteins play an important role in living life. They are closely related to the organism’s survival and reproduction, which are kinds of vital nodes in protein-protein interaction network. In general, there are many traditional experimental methods that can get essential protein information, such as single gene knockouts[1], RNA interference[2] and conditional knockouts[3]. However, these experimental techniques are always laborious and time-consuming.