A NOVEL CLASSIFIER FOR INFLUENZA A VIRUSES BASED ON SVM AND LOGISTIC REGRESSION

被引：1

作者：

Liu, Hsiang-Chuan ^{[1
]}

Liu, Shin-Wu ^{[2
]}

Chang, Pei-Chun ^{[1
]}

Huang, Wen-Chun ^{[3
]}

Liao, Chien-Hsiung ^{[1
]}

机构：

[1] Asia Univ, Dept Bioinformat, Taichung, Taiwan

[2] Natl Inst Hlth, Natl Inst Allergy & Infect Dis, Bethesda, MD USA

[3] Taichung Univ, Grad Inst Educ Measurement & Stat, Taichung, Taiwan

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1 AND 2 | 2008年

关键词：

Influenza A viruses; Hurst exponent; SVM; Logistic regression; SVM-Logistic regression;

D O I：

10.1109/ICWAPR.2008.4635791

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In search of good classifier of hosts of influenza A viruses is an important issue to prevent pandemic flu. The hemagglutinin protein in the virus genome is the major molecule that determining the range of hosts. In this paper, a novel classification algorithm of hemagglutinin proteins integrating SVM and logistic regression based on 4 kinds of Hurst exponents for each protein sequence is proposed. This method not used before is the first one integrating the physicochemical properties, fractal property, SVM and logistic regression classifier. For evaluating the performance of this new algorithm, a real data experiment by using 5-fold Cross-Validation accuracy is conducted. Experimental result shows that this new classification algorithm is useful and batter than SVM and logistic regression, respectively..

引用

页码：287 / +

页数：2

共 50 条

[41] Novel influenza A viruses and pandemic threats
Uyeki, Timothy M.
Katz, Jacqueline M.
Jernigan, Daniel B.
LANCET, 2017, 389 (10085): : 2172 - 2174
[42] Feature Selection for an SVM Based Webpage Classifier
Mtetwa, Nhamo
Yousefi, Mehdi
Reddy, Viseshini
2017 IEEE 4TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING & MACHINE INTELLIGENCE (ISCMI), 2017, : 85 - 88
[43] A SVM Classifier Research Based on RS Reducts
Zhang, Guojun
Chen, Jixiong
2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 1, PROCEEDINGS, 2009, : 227 - 230
[44] Prediction of influenza vaccination outcome by neural networks and logistic regression
Trtica-Majnaric, Ljiljana
Zekic-Susac, Marijana
Sarlija, Natasa
Vitale, Branko
JOURNAL OF BIOMEDICAL INFORMATICS, 2010, 43 (05) : 774 - 781
[45] A wood color classifier based on CAV and SVM
Hu Xingyu
Wang Peiliang
Xu Jingyun
INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS, PTS 1-4, 2013, 241-244 : 483 - +
[46] CLASSIFICATION OF SEIZURE THROUGH SVM BASED CLASSIFIER
Shahid, Abdulla
Wahab, Mohd
Rafiuddin, Nidal
Farooq, Omar
2018 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2018,
[47] Handwriting Word Recognition Based on SVM Classifier
Kadhm, Mustafa S.
Hassan, Alia Karim Abdul
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2015, 6 (11) : 64 - 68
[48] Sequence-based detection of emerging antigenically novel influenza A viruses
Forna, Alpha
Weedop, K. Bodie
Damodaran, Lambodhar
Hassell, Norman
Kondor, Rebecca
Bahl, Justin
Drake, John M.
Rohani, Pejman
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2024, 291 (2028)
[49] Comparing the Efficiency of Heart Disease Prediction using Novel Random Forest, Logistic Regression and Decision Tree And SVM Algorithms
Teja, P. Prasanna Sai
Veeramani, T.
CARDIOMETRY, 2022, (25): : 1491 - 1499
[50] Broad Embedded Logistic Regression Classifier for Prediction of Air Pressure Systems Failure
Muideen, Adegoke A.
Lee, Carman Ka Man
Chan, Jeffery
Pang, Brandon
Alaka, Hafiz
MATHEMATICS, 2023, 11 (04)

← 1 2 3 4 5 →