Hypothesis Generation from Literature for Advancing Biological Mechanism Research: A Perspective
Pages 204 - 209
Abstract
The number of biomedical literature being published has experienced significant growth, with a sharp increase in recent years. However, keeping pace with new knowledge in this complex and specialized field can be challenging. Hypothesis Generation is a literature-based discovery approach that utilizes existing literature to automatically generate implicit biomedical associations and provide reasonable predictions for future research. Despite its potential, current hypothesis generation methods face challenges when applied to research on biological mechanisms. In this perspective paper, we provide an overview of existing hypothesis generation approaches, and examine their limitations in the context of biological mechanism research. We propose practical solutions to overcome these challenges and highlight the potential of hypothesis generation in advancing our understanding of biological mechanisms.
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Index Terms
- Hypothesis Generation from Literature for Advancing Biological Mechanism Research: A Perspective
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Published In
May 2023
313 pages
ISBN:9798400700385
DOI:10.1145/3608164
Copyright © 2023 ACM.
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Published: 07 November 2023
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ICBBT 2023
ICBBT 2023: 2023 15th International Conference on Bioinformatics and Biomedical Technology
May 26 - 28, 2023
Xi'an, China
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