A New Advanced In Silico Drug Discovery Method for Novel Coronavirus (SARS-CoV-2) with Tensor Decomposition-Based Unsupervised Feature Extraction

Y-H. Taguchi; Turki Turki

doi:10.20944/preprints202004.0524.v1

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A New Advanced In Silico Drug Discovery Method for Novel Coronavirus (SARS-CoV-2) with Tensor Decomposition-Based Unsupervised Feature Extraction

This version is not peer-reviewed.

This version is not peer-reviewed.

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Submitted:

29 April 2020

Posted:

30 April 2020

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Abstract

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Subject:

Medicine and Pharmacology - Epidemiology and Infectious Diseases

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Preprints on COVID-19 and SARS-CoV-2

Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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A New Advanced In Silico Drug Discovery Method for Novel Coronavirus (SARS-CoV-2) with Tensor Decomposition-Based Unsupervised Feature Extraction

Abstract

Keywords:

Subject:

MDPI Initiatives

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