Performance Analysis of Network Model to Identify Healthy and Cancerous Colon Genes

IEEE Journal of Biomedical and Health Informatics
Tanusree Roy, Soma Barman

Abstract

Modeling of cancerous and healthy Homo Sapiens colon gene using electrical network is proposed to study their behavior. In this paper, the individual amino acid models are designed using hydropathy index of amino acid side chain. The phase and magnitude responses of genes are examined to screen out cancer from healthy genes. The performance of proposed modeling technique is judged using various performance measurement metrics such as accuracy, sensitivity, specificity, etc. The network model performance is increased with frequency, which is analyzed using the receiver operating characteristic curve. The accuracy of the model is tested on colon genes and achieved maximum 97% at 10-MHz frequency.

References

May 5, 1982·Journal of Molecular Biology·J Kyte, R F Doolittle
Jan 1, 1999·Nature·C LengauerB Vogelstein
Aug 3, 2004·Nature Medicine·Bert Vogelstein, Kenneth W Kinzler
Nov 30, 2004·Critical Care : the Official Journal of the Critical Care Forum·Viv BewickJonathan Ball
Jan 31, 2008·Archives of Biochemistry and Biophysics·Amanda BoltAdam Nelson
Feb 11, 2011·Nature·Eric S Lander
Mar 28, 2012·International Journal of Bioinformatics Research and Applications·David A McClellan

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Citations

Jun 24, 2020·Nucleosides, Nucleotides & Nucleic Acids·Lopamudra DasJ K Das
Aug 10, 2020·Medical & Biological Engineering & Computing·Tanusree Roy, Pranabesh Bhattacharjee
Sep 12, 2020·Journal of Biomedical Informatics·Joyshri Das, Soma Barman Mandal

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