How is machine learning applied in bioinformatics?

Bioinformatics Questions



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How is machine learning applied in bioinformatics?

Machine learning is applied in bioinformatics to analyze and interpret large-scale biological data. It involves the development and application of algorithms and statistical models that enable computers to learn from and make predictions or decisions based on the data. Machine learning techniques are used in various bioinformatics applications such as gene expression analysis, protein structure prediction, drug discovery, and disease diagnosis. These techniques can identify patterns, classify data, predict outcomes, and uncover hidden relationships within biological datasets, ultimately aiding in the understanding of complex biological processes and facilitating advancements in biomedical research and healthcare.