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Drug repositioning using multiple gene expression profiles

Chuo University’s Professor Y-h. Taguchi places focus on drug repositioning using multiple gene expression profiles
Pills On Yellow Background, symbolising drug repositioning

Can we do drug repositioning without disease gene expression?

Chuo University’s Professor Y-h. Taguchi examines the application of cutting-edge single-cell-based measurements in drug repositioning.
Petri dish with close up colourful detailed bubbles on a white background. Marco shot with a white backlight.

Drug repositioning without the gene expression of disease cells treated with drugs

Y-h. Taguchi, Professor at the Department of Physics, Chuo University in Japan, provides comments on drug repositioning without the gene expression of disease cells treated with various drugs.
DNA sequencing gel run science and data genomic genetic analysis background abstract pattern.

The link between gene expression and machine learning

Professor Y-h. Taguchi uses tensor decomposition to identify genes associated with altered gene expression caused by drug treatment.
Kernel Tensor Decomposition

Kernel Tensor Decomposition can improve the drug discovery process

Kernel tensor decomposition and its use in drug discovery for SARS-CoV-2 was vital, however, due to its general method, it has the potential to be used for a wide range of future problems.
Virus cells or bacterias under microscope lens

Slight changes can improve much for algorithms looking at gene expressions

Y-h. Taguchi, a Professor at Chuo University, looks at the slight changes made to algorithms when looking at the COVID-19 virus and gene expressions.

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