Similarity calculation process.

<div><p>Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. In this study, we used multi-source heterogeneous network informat...

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Bibliographic Details
Main Author:	Lu Sun (194355) (author)
Other Authors:	Zhixiang Yin (11330174) (author), Lin Lu (5759) (author)
Published:	2025
Subjects:	Genetics Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified targets may lead obtain compressed low metropolis &# 8211 dimensional feature vectors drug &# 8211 hasting random walk predicting dtis performance network diffusion algorithm islrwr algorithm improved random walk improved using dtis ). drug discovery drug development network topology network model islrwr algorithm entire network widely used used multi transfer probability target interactions recall curve popular drugs loop rate loop probability isolated nodes homologous proteins effectively improving discovery tasks current node aided methods 72 %,
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Similarity calculation process.

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