Similarity Measurement of Gene Using Arc Tan Function in Gene Ontology
The Gene Ontology (GO) is a technique that measures second-hand the semantic relationship of genes using an exponential and arc tan-based technique. The proposed work develops an enhanced shortest path-based measure using GO semantic relationship. The exi
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Abstract The Gene Ontology (GO) is a technique that measures second-hand the semantic relationship of genes using an exponential and arc tan-based technique. The proposed work develops an enhanced shortest path-based measure using GO semantic relationship. The existing work presented an undeviating corridor based on an amalgam appraise of ontological match. Using GO graph and in sequence pleased are factors that improve the effectiveness of transfer functions of semantic connection of gene ontology. The semantic technique evaluates weighted paths for GO similarity measure. Other similarity measures use the shortest path in their calculation but require the specificity of a concept in hybrid measure performance of correlated genes.
Keywords Gene ontology Semantic similarity Arc tan function Relational similarity
Shortest path
K. Vengatesan (&) Department of Computer Engineering, Sri Satya Sai University of Technology and Medical Science, Sehore, India e-mail: [email protected] S.B. Mahajan R.M. Kulkarni Department of Electrical and Electronics Engineering, Marathwada Institute of Technology, Aurangabad, India e-mail: [email protected] R.M. Kulkarni e-mail: [email protected] P. Sanjeevikumar Department of Electrical and Electronics Engineering, University of Johannesburg, Auckland Park, Johannesburg, South Africa e-mail: [email protected] S. Moin Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 A. Kalam et al. (eds.), Advances in Electronics, Communication and Computing, Lecture Notes in Electrical Engineering 443, https://doi.org/10.1007/978-981-10-4765-7_83
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1 Introduction Computational ontology denotes officially designing the formation of a system, i.e., the appropriate entities and relations that appear since its observation, and which are helpful to reasons. The gene ontology (GO) is cooperation between sculpt creature information to explain gene harvest commencing all organisms using a reliable and quantifiable language [1]. GO produces group of plainly definite, ordered vocabularies that portray natural processes, molecular operations, and cellular mechanism of gene harvest in together a central processing unit and human-understandable way. The method explains solution aspects of GO, which, when unnoticed, know how to basis unacceptable fallout, and deal with how these pitfalls can be uninvolved [2]. The GO are organized vocabulary and category that encircle diverse area of molecular and cellular environmental science and are munificently effortlessly reached for group of people exploit in the marginal note of genes, gene foodstuffs and sequences. Most of the information on human being appearance and genome explanation sets touch the GO and make a contribution their marginal note sets for the GO supply [3]. The GO record incorporates the vocabularies and contributed observations and gives whole right to use this in turn
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