Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM

Imam Cholissodin; Nanik Suciati; Darlis Herumurti; Riyanarto Sarno; Valentina Yurina

doi:10.1109/ICTS58770.2023.10330844

Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM

Imam Cholissodin^*
, Nanik Suciati
, Darlis Herumurti
, Riyanarto Sarno
, Valentina Yurina

^*Corresponding author for this work

Brawijaya University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In the bio-molecular field, epitope classification is essential in vaccine development. A machine learning-based approach has been used for epitope classification using peptide data from b-cell, Severe Acute Respiratory Syndrome (SARS) to predict material for SARS-CoV-2 vaccine. This study aims to improve the performance of epitope classification by weighting peptide features and including input weight and biases of Classifier model using the Time Variant Inertia Weight, Acceleration Coefficients and Random Injection-Particle Swarm optimization (TVIWACRI-PSO) and the Extreme Learning Machine (ELM) classification algorithm. Experiment on b-cell, SARS dataset shows that feature weighting (FW) using TVIWACRI-PSO can improve accuracy performance by 8.4%.

Original language	English
Title of host publication	2023 14th International Conference on Information and Communication Technology and System, ICTS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	153-158
Number of pages	6
ISBN (Electronic)	9798350312164
DOIs	https://doi.org/10.1109/ICTS58770.2023.10330844
Publication status	Published - 2023
Event	14th International Conference on Information and Communication Technology and System, ICTS 2023 - Surabaya, Indonesia Duration: 4 Oct 2023 → 5 Oct 2023

Publication series

Name	2023 14th International Conference on Information and Communication Technology and System, ICTS 2023

Conference

Conference	14th International Conference on Information and Communication Technology and System, ICTS 2023
Country/Territory	Indonesia
City	Surabaya
Period	4/10/23 → 5/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

epitope b-cell and sars
feature weight
sars-cov-2 vaccine
tviwacri-pso-elm

Access to Document

10.1109/ICTS58770.2023.10330844

Cite this

Cholissodin, I., Suciati, N., Herumurti, D., Sarno, R., & Yurina, V. (2023). Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM. In 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023 (pp. 153-158). (2023 14th International Conference on Information and Communication Technology and System, ICTS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTS58770.2023.10330844

Cholissodin, Imam ; Suciati, Nanik ; Herumurti, Darlis et al. / Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM. 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 153-158 (2023 14th International Conference on Information and Communication Technology and System, ICTS 2023).

@inproceedings{6f141ed9efb245e6ba3f7072037fe9f2,

title = "Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM",

abstract = "In the bio-molecular field, epitope classification is essential in vaccine development. A machine learning-based approach has been used for epitope classification using peptide data from b-cell, Severe Acute Respiratory Syndrome (SARS) to predict material for SARS-CoV-2 vaccine. This study aims to improve the performance of epitope classification by weighting peptide features and including input weight and biases of Classifier model using the Time Variant Inertia Weight, Acceleration Coefficients and Random Injection-Particle Swarm optimization (TVIWACRI-PSO) and the Extreme Learning Machine (ELM) classification algorithm. Experiment on b-cell, SARS dataset shows that feature weighting (FW) using TVIWACRI-PSO can improve accuracy performance by 8.4\%.",

keywords = "epitope b-cell and sars, feature weight, sars-cov-2 vaccine, tviwacri-pso-elm",

author = "Imam Cholissodin and Nanik Suciati and Darlis Herumurti and Riyanarto Sarno and Valentina Yurina",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Information and Communication Technology and System, ICTS 2023 ; Conference date: 04-10-2023 Through 05-10-2023",

year = "2023",

doi = "10.1109/ICTS58770.2023.10330844",

language = "English",

series = "2023 14th International Conference on Information and Communication Technology and System, ICTS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "153--158",

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address = "United States",

}

Cholissodin, I, Suciati, N , Herumurti, D , Sarno, R & Yurina, V 2023, Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM. in 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023. 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 153-158, 14th International Conference on Information and Communication Technology and System, ICTS 2023, Surabaya, Indonesia, 4/10/23. https://doi.org/10.1109/ICTS58770.2023.10330844

Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM. / Cholissodin, Imam; Suciati, Nanik ; Herumurti, Darlis et al.
2023 14th International Conference on Information and Communication Technology and System, ICTS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 153-158 (2023 14th International Conference on Information and Communication Technology and System, ICTS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Cholissodin, Imam

AU - Suciati, Nanik

AU - Herumurti, Darlis

AU - Sarno, Riyanarto

AU - Yurina, Valentina

PY - 2023

Y1 - 2023

N2 - In the bio-molecular field, epitope classification is essential in vaccine development. A machine learning-based approach has been used for epitope classification using peptide data from b-cell, Severe Acute Respiratory Syndrome (SARS) to predict material for SARS-CoV-2 vaccine. This study aims to improve the performance of epitope classification by weighting peptide features and including input weight and biases of Classifier model using the Time Variant Inertia Weight, Acceleration Coefficients and Random Injection-Particle Swarm optimization (TVIWACRI-PSO) and the Extreme Learning Machine (ELM) classification algorithm. Experiment on b-cell, SARS dataset shows that feature weighting (FW) using TVIWACRI-PSO can improve accuracy performance by 8.4%.

AB - In the bio-molecular field, epitope classification is essential in vaccine development. A machine learning-based approach has been used for epitope classification using peptide data from b-cell, Severe Acute Respiratory Syndrome (SARS) to predict material for SARS-CoV-2 vaccine. This study aims to improve the performance of epitope classification by weighting peptide features and including input weight and biases of Classifier model using the Time Variant Inertia Weight, Acceleration Coefficients and Random Injection-Particle Swarm optimization (TVIWACRI-PSO) and the Extreme Learning Machine (ELM) classification algorithm. Experiment on b-cell, SARS dataset shows that feature weighting (FW) using TVIWACRI-PSO can improve accuracy performance by 8.4%.

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KW - tviwacri-pso-elm

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DO - 10.1109/ICTS58770.2023.10330844

M3 - Conference contribution

AN - SCOPUS:85180373207

T3 - 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023

SP - 153

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BT - 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Cholissodin I, Suciati N , Herumurti D , Sarno R, Yurina V. Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM. In 2023 14th International Conference on Information and Communication Technology and System, ICTS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 153-158. (2023 14th International Conference on Information and Communication Technology and System, ICTS 2023). doi: 10.1109/ICTS58770.2023.10330844

Optimization of Feature Weighting for Epitope Classification in B-Cell and SARS Using TVIWACRI-PSO-ELM

Abstract

Publication series

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UN SDGs

Keywords

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