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Explainable Artificial Intelligence in Bioinformatic
Special Issue Information
Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. It attracts a lot of researchers from a variety of fields including biology, computer science, mathematics, statistics, and so on. Recently, with the assistance of fast improving explainable artificial intelligence (XAI) algorithms, we can use highly efficient data mining tools to handle a huge body of bioinformatics databases. XAI in bioinformatics includes both basic as well as clinical research with the information of biological sequence functions, protein structures, protein-protein interactions, single cell sequencing, etc. This analysis helps in the design and discovery of drugs as well as complex systems.
Keywords
- Keywords Explainable AI Machine learning and deep learning Computational biology Protein function prediction Protein-protein interaction prediction Single-cell sequencing analysis Cancer genomics RNA sequencing analysis
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