Clustering of a Number of Genes Affecting in Milk Production using Information Theory and Mutual Information

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Dehghanzadeh Hoshang; Mirhosein Seyed Zeaoddin; Ghaderi Zefrehei Mostafa; TAVAKOLI HASAN; Esmaeilkhaniyan Saeed

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Journal: Research On Animal Production Year:2019 | Volume:10 | Issue:23 Page(s): 117-132

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Title

Clustering of a Number of Genes Affecting in Milk Production using Information Theory and Mutual Information

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Keywords

Dairy cattleQ2

EntropyQ1

Gene clusteringQ1

Information theoryQ1

Mutual informationQ1

Abstract

Information theory is a branch of mathematics. Information theory is used in genetic and bioinformatics analyses and can be used for many analyses related to the biological structures and sequences. Bio-computational grouping of genes facilitates genetic analysis, sequencing and structural-based analyses. In this study, after retrieving gene and exon DNA sequences affecting milk yield in Dairy cattle, the Entropy in orders one to four for each gene and eta exons was calculated. In order to extract gene distances, Mutual information method was calculated. The results of Mutual information of DNA and exon sequences were entered as input into 7 general clustering algorithms. In order to aggregate the results of clustering, AdaBoost algorithm was used. Finally, the results of AdaBoost algorithm were investigated by GeneMANIA prediction server to explore the results from gene annotation point of view. Integrated result of each clustering algorithm due to AdaBoost algorithm, which implied as gene tree, indicated that proposed method biologically grouped set of genes as it was proved by their gene annotation using GeneMANI. We believe that the proposed method might be used with other DNA based clustering competitive methods and therefore, it can be used to group set of genes in other species.

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APA: Copy

Dehghanzadeh, Hoshang, Mirhosein, Seyed Zeaoddin, Ghaderi Zefrehei, Mostafa, TAVAKOLI, HASAN, & Esmaeilkhaniyan, Saeed. (2019). Clustering of a Number of Genes Affecting in Milk Production using Information Theory and Mutual Information. RESEARCH ON ANIMAL PRODUCTION, 10(23 ), 117-132. SID. https://sid.ir/paper/389893/en

Vancouver: Copy

Dehghanzadeh Hoshang, Mirhosein Seyed Zeaoddin, Ghaderi Zefrehei Mostafa, TAVAKOLI HASAN, Esmaeilkhaniyan Saeed. Clustering of a Number of Genes Affecting in Milk Production using Information Theory and Mutual Information. RESEARCH ON ANIMAL PRODUCTION[Internet]. 2019;10(23 ):117-132. Available from: https://sid.ir/paper/389893/en

IEEE: Copy

Hoshang Dehghanzadeh, Seyed Zeaoddin Mirhosein, Mostafa Ghaderi Zefrehei, HASAN TAVAKOLI, and Saeed Esmaeilkhaniyan, “Clustering of a Number of Genes Affecting in Milk Production using Information Theory and Mutual Information,” RESEARCH ON ANIMAL PRODUCTION, vol. 10, no. 23 , pp. 117–132, 2019, [Online]. Available: https://sid.ir/paper/389893/en

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