Identification of candidate drugs using tensor-decomposition-based unsupervised feature extraction in integrated analysis of gene expression between diseases and DrugMatrix datasets

Y.-h. Taguchi
  • Scientific Reports, October 2017, Nature Publishing Group
  • DOI: 10.1038/s41598-017-13003-0

How to find drug from gene expression of human and animal gene expression

What is it about?

This is a method that can find drug compounds that target proteins from the combination of human gene expression and model animals treated by compounds,

Why is it important?

Two major in silico drug identification strategy, structure-based and compound-based drug discovery is not strong enough to find drug candidate compounds. This method belong to the third strategy that can make use of gene expression profiles


Professor Y-h. Taguchi (Author)
Chuo Daigaku

In this method. tensor decomposition based unsupervised feature extraction, which was extended from the previously proposed principal component analysis based unsupervised feature extraction by my own, was applied to tensors generated from a mathematical product of gene expression between human and animals.

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The following have contributed to this page: Professor Y-h. Taguchi