Drug Target Interaction Prediction Method Based on Graph Convolutional Neural Network

Drug-target interaction prediction plays an important role in drug discovery and repositioning.However,existing prediction methods have the problem of insufficient predictive performance while processing data with highly unbalance positive and negative samples.Therefore,a novel computational method...

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Autore principale:	GAO Chuang, LI Jian-hua, JI Xiu-yi, ZHU Cheng-long, LI Shi-liang, LI Hong-lin
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Editorial office of Computer Science 2021-10-01
Serie:	Jisuanji kexue
Soggetti:	graph convolutional neural networks|drug-target interactions|heterogeneous information network|machine learning|vector representation
Accesso online:	http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-10-127.pdf
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