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Direct linkLeonardo D. Garma; Nuno S. Osório – Biochemistry and Molecular Biology Education, 2024
Dimensionality reduction techniques are essential in analyzing large 'omics' datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students…
Descriptors: Biochemistry, Molecular Biology, Science Instruction, Learning Experience
