Principal component analysis based unsupervised feature extraction applied to bioinformatics analysis

What is it about?

Principal component analysis based unsupervised feature extraction is a recently proposed powerful method that can deal with various bioinformatics problems. In this chapter, it was introduced and applied to various problems.

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Why is it important?

Although it is unsupervised method, it often outperform various conventional supervised method

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