NetInfer @ LMMD
NetInfer is a command-line toolkit written in C++ programming language, which can be used for predicting potential targets for approved drugs, drug candidates failed in clinical trials, and new chemical entities. It is light-weight and does not need the support of any third-party math libraries such as linear algebra libraries. To accelerate the calculation and decrease the cost of memory space, different data structures were designed for sparse and dense matrices. NetInfer provides various functions, such as link prediction, 10-fold cross validation, leave-one-cross validation, and external validation. In a uniform platform, researchers can input their in-house data and then obtain predictive lists or evaluation indicators. Several our previous methods were implemented in this toolkit, including: | ||||||||
Download: The latest versions are available upon request at now:
Tab-delimited text files can be used as input files for our toolkit. Each line in a input file represents one linkage between two nodes A and B, containing 5 parts:
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References (#Co-first authors, *Corresponding authors):
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Tutorials
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