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Genome Based Classification of Human Papilloma Virus Using Linear Discriminant Analysis

S. Swain1 , M.R. Patra2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-03 , Page no. 192-196, Feb-2019

Online published on Feb 15, 2019

Copyright © S. Swain, M.R. Patra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Swain, M.R. Patra, “Genome Based Classification of Human Papilloma Virus Using Linear Discriminant Analysis,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.03, pp.192-196, 2019.

MLA Style Citation: S. Swain, M.R. Patra "Genome Based Classification of Human Papilloma Virus Using Linear Discriminant Analysis." International Journal of Computer Sciences and Engineering 07.03 (2019): 192-196.

APA Style Citation: S. Swain, M.R. Patra, (2019). Genome Based Classification of Human Papilloma Virus Using Linear Discriminant Analysis. International Journal of Computer Sciences and Engineering, 07(03), 192-196.

BibTex Style Citation:
@article{Swain_2019,
author = {S. Swain, M.R. Patra},
title = {Genome Based Classification of Human Papilloma Virus Using Linear Discriminant Analysis},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {03},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {192-196},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=706},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=706
TI - Genome Based Classification of Human Papilloma Virus Using Linear Discriminant Analysis
T2 - International Journal of Computer Sciences and Engineering
AU - S. Swain, M.R. Patra
PY - 2019
DA - 2019/02/15
PB - IJCSE, Indore, INDIA
SP - 192-196
IS - 03
VL - 07
SN - 2347-2693
ER -

           

Abstract

Biological classification of Papillomaviridae leads to several hundred different genera (classes) of Human Papilloma Viruses (HPV) that are discriminated on the basis of more than hundred different characteristics. Statistical procedures of classification based on genome and gene size are being applied to biologically define different class labels for HPV. In this paper, Fisher’s linear discriminant analysis (LDA) has been used for classification of HPV on the basis of total genome size and gene sizes. Univariate and multivariate modes of classification have been employed to recognize two distinct classes of HPV viz., alpha- papilloma and beta-papilloma that cause cervical cancer in humans. The aim is to build a classification model so as to predict unknown samples. The accuracy of the proposed model has been measured on a sample dataset.

Key-Words / Index Term

Genome, Genes, HPV, LDA, Papillomaviridae, Multivariate analysis, and Univariate analysis

References

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