Abstract
There is a widespread proverb that “the twenty-first century is the century of life sciences,” yet more than 20 years into the twenty-first century, we have yet to see a revolutionary breakthrough in the field of biological sciences similar to the steam engine and electricity. Computer science, on the other hand, has developed rapidly in the last decade, with new technologies emerging and combining with other disciplines to form cross-disciplines. Bioinformatics is a product of this background, and AlphaFold, which appeared in 2018, is one of the more groundbreaking results. Based on the above phenomenon, we can foresee that biology can hardly reach the height of the “century of life sciences” by the research of its own disciplines alone, and to achieve this ambitious goal. Thus, it must be built on the intersection of other disciplines. Bioinformatics has such potential, and correlation analysis is an important technique and analysis method to solve the core problems in bioinformatics, and it is based on this background, and it provides a detailed introduction to the application of correlation analysis and other techniques in bioinformatics against the background of this era.
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Chen, Q. (2024). Summary and Prospect. In: Association Analysis Techniques and Applications in Bioinformatics. Springer, Singapore. https://doi.org/10.1007/978-981-99-8251-6_13
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DOI: https://doi.org/10.1007/978-981-99-8251-6_13
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-8250-9
Online ISBN: 978-981-99-8251-6
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