2022
DOI: 10.1145/3554728
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Formal Concept Analysis Applications in Bioinformatics

Abstract: 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 to examine the structural properties of data based on which subsets of the data set depend on each other. This paper surveys the current literature related to the use of FCA for bioinformatics. The survey begins with a discussion of FCA, its hierarchical advantages, several advanced models of FCA, and … Show more

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Cited by 7 publications
(2 citation statements)
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“…Precision nutrition aims to incorporate advanced information to develop holistic strategies suitable for widespread application and integration of several features with objective values [40]. This field combines numerous variables specific to each individual, which are determined through bioinformatic analysis techniques [41]. The analyzed data enabled the calculation of scores for objectively quantifying the global influence of exposure, metabolic, and physical factors on an individual's metabolic status.…”
Section: Discussionmentioning
confidence: 99%
“…Precision nutrition aims to incorporate advanced information to develop holistic strategies suitable for widespread application and integration of several features with objective values [40]. This field combines numerous variables specific to each individual, which are determined through bioinformatic analysis techniques [41]. The analyzed data enabled the calculation of scores for objectively quantifying the global influence of exposure, metabolic, and physical factors on an individual's metabolic status.…”
Section: Discussionmentioning
confidence: 99%
“…The research by Roscoe et al (2022) highlights FCA's role in revealing the complex interplay and dependencies found in gene expression data, thereby contributing significantly to bioinformatics. In gene expression, which sheds light on how genes are activated under different conditions, FCA is an essential tool for a methodical analysis of such data, aiding in disease prediction and understanding vital biological processes (Roscoe et al 2022).…”
Section: Related Studies On Fcamentioning
confidence: 99%