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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) True

(b) False

The question was posed to me during an online exam.

Enquiry is from Microarray-Based Approaches in section Functional Genomics & Proteomics of Bioinformatics

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Best answer
Right answer is (a) True

To explain: 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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