Formal Concept Analysis Applications in Bioinformatics
نویسندگان
چکیده
The bioinformatics discipline seeks to solve problems in biology with computational theories and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial orders. FCA allows the user examine structural properties of data which subsets dataset depend each other. This article surveys current literature related use for bioinformatics. survey begins a discussion FCA, its hierarchical advantages, several advanced models lattice management strategies. It then examines how has been used applications, followed by future prospects those areas. applications addressed include gene (with next-generation sequencing), biomarkers discovery, protein-protein interaction, disease (including COVID-19, cancer, others), drug design development, healthcare informatics, biomedical ontologies, phylogeny. Some most promising are identifying influential nodes network representing interactions, determining critical concepts discover biomarkers, integrating machine learning deep cancer classification, pattern matching sequencing.
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 2022
ISSN: ['0360-0300', '1557-7341']
DOI: https://doi.org/10.1145/3554728