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A supervised analysis refers to classification of data into a set of predefined categories. For example, depending on the purpose of the experiment, the data can be classified into predefined ‘diseased’ or ‘normal’ categories.

A supervised analysis refers to classification of data into a set of predefined categories. For example, depending on the purpose of the experiment, the data can be classified into predefined ‘diseased’ or ‘normal’ categories. Correct Answer True

Similarly, an unsupervised analysis does not assume predefined categories, but identifies data categories according to actual similarity patterns. The unsupervised analysis is also called clustering, which is to group patterns into clusters of genes with correlated profiles.

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Supervised learning differs from unsupervised clustering in that supervised learning requires