Abstract
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. Machine learning has attracted much interest lately. Last year, generative AIs such as stable diffusion, which can create beautiful images from a given prompt and ChatGPT, which can mimic human conversations very well, were developed. All these popular AIs are based on a machine learning technique called deep learning (DL), inspired by the human brain's structure, also known as neural networks. However, these DL-based generative AIs have a hidden problem: they require massive amounts of data to learn.
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