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Natural language processing and Protein–protein interaction

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Natural language processing and Protein–protein interaction

Natural language processing vs. Protein–protein interaction

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data. Protein–protein interactions (PPIs) are the physical contacts of high specificity established between two or more protein molecules as a result of biochemical events steered by electrostatic forces including the hydrophobic effect.

Similarities between Natural language processing and Protein–protein interaction

Natural language processing and Protein–protein interaction have 1 thing in common (in Unionpedia): Machine learning.

Machine learning

Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

Machine learning and Natural language processing · Machine learning and Protein–protein interaction · See more »

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Natural language processing and Protein–protein interaction Comparison

Natural language processing has 140 relations, while Protein–protein interaction has 127. As they have in common 1, the Jaccard index is 0.37% = 1 / (140 + 127).

References

This article shows the relationship between Natural language processing and Protein–protein interaction. To access each article from which the information was extracted, please visit:

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