A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis

Hafiz ur Rahman; Muhammad Arif; Sadam Al-Azani; Emad Ramadan; Guojun Wang; Jianer Chen; Teodora Olariu; Iustin Olariu

doi:10.1007/978-3-030-52190-5_3

A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis

Hafiz ur Rahman
, Muhammad Arif
, Sadam Al-Azani
, Emad Ramadan
, Guojun Wang^*
, Jianer Chen
, Teodora Olariu
, Iustin Olariu

^*Corresponding author for this work

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

Abstract

Cancer is a leading cause of death and majority of cancer patients are diagnosed in the late stages of cancer by using conventional methods. The gene expression microarray technology is applied to detect and diagnose most types of cancers in their early stages. Furthermore, it allows researchers to analyze thousands of genes simultaneously. To acquire knowledge from gene expression data, data mining methods are needed. Due to the rapid evolution of cancer detection and diagnosis techniques, a survey of modern techniques is desirable. This study reviews and provide a detailed description of these techniques. As a result, it helps to enhance existing techniques for cancer detection and diagnosis as well as guiding researchers to develop new approaches.

Original language	English
Title of host publication	Soft Computing Applications - Proceedings of the 8th International Workshop Soft Computing Applications, SOFA 2018, Vol. II
Editors	Valentina Emilia Balas, Marius Mircea Balas, Lakhmi C. Jain, Lakhmi C. Jain, Lakhmi C. Jain, Shahnaz N. Shahbazova
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	35-50
Number of pages	16
ISBN (Print)	9783030521899
DOIs	https://doi.org/10.1007/978-3-030-52190-5_3
State	Published - 2021

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1222 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

UN SDGs

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

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-52190-5_3

Cite this

Rahman, H. U., Arif, M., Al-Azani, S., Ramadan, E., Wang, G., Chen, J., Olariu, T., & Olariu, I. (2021). A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis. In V. E. Balas, M. M. Balas, L. C. Jain, L. C. Jain, L. C. Jain, & S. N. Shahbazova (Eds.), Soft Computing Applications - Proceedings of the 8th International Workshop Soft Computing Applications, SOFA 2018, Vol. II (pp. 35-50). (Advances in Intelligent Systems and Computing; Vol. 1222 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-52190-5_3

Rahman, Hafiz ur ; Arif, Muhammad ; Al-Azani, Sadam et al. / A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis. Soft Computing Applications - Proceedings of the 8th International Workshop Soft Computing Applications, SOFA 2018, Vol. II. editor / Valentina Emilia Balas ; Marius Mircea Balas ; Lakhmi C. Jain ; Lakhmi C. Jain ; Lakhmi C. Jain ; Shahnaz N. Shahbazova. Springer Science and Business Media Deutschland GmbH, 2021. pp. 35-50 (Advances in Intelligent Systems and Computing).

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title = "A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis",

abstract = "Cancer is a leading cause of death and majority of cancer patients are diagnosed in the late stages of cancer by using conventional methods. The gene expression microarray technology is applied to detect and diagnose most types of cancers in their early stages. Furthermore, it allows researchers to analyze thousands of genes simultaneously. To acquire knowledge from gene expression data, data mining methods are needed. Due to the rapid evolution of cancer detection and diagnosis techniques, a survey of modern techniques is desirable. This study reviews and provide a detailed description of these techniques. As a result, it helps to enhance existing techniques for cancer detection and diagnosis as well as guiding researchers to develop new approaches.",

author = "Rahman, \{Hafiz ur\} and Muhammad Arif and Sadam Al-Azani and Emad Ramadan and Guojun Wang and Jianer Chen and Teodora Olariu and Iustin Olariu",

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doi = "10.1007/978-3-030-52190-5\_3",

language = "English",

isbn = "9783030521899",

series = "Advances in Intelligent Systems and Computing",

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Rahman, HU, Arif, M, Al-Azani, S, Ramadan, E, Wang, G, Chen, J, Olariu, T & Olariu, I 2021, A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis. in VE Balas, MM Balas, LC Jain, LC Jain, LC Jain & SN Shahbazova (eds), Soft Computing Applications - Proceedings of the 8th International Workshop Soft Computing Applications, SOFA 2018, Vol. II. Advances in Intelligent Systems and Computing, vol. 1222 AISC, Springer Science and Business Media Deutschland GmbH, pp. 35-50. https://doi.org/10.1007/978-3-030-52190-5_3

A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis. / Rahman, Hafiz ur; Arif, Muhammad; Al-Azani, Sadam et al.
Soft Computing Applications - Proceedings of the 8th International Workshop Soft Computing Applications, SOFA 2018, Vol. II. ed. / Valentina Emilia Balas; Marius Mircea Balas; Lakhmi C. Jain; Lakhmi C. Jain; Lakhmi C. Jain; Shahnaz N. Shahbazova. Springer Science and Business Media Deutschland GmbH, 2021. p. 35-50 (Advances in Intelligent Systems and Computing; Vol. 1222 AISC).

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

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T1 - A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis

AU - Rahman, Hafiz ur

AU - Arif, Muhammad

AU - Al-Azani, Sadam

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AU - Wang, Guojun

AU - Chen, Jianer

AU - Olariu, Teodora

AU - Olariu, Iustin

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N2 - Cancer is a leading cause of death and majority of cancer patients are diagnosed in the late stages of cancer by using conventional methods. The gene expression microarray technology is applied to detect and diagnose most types of cancers in their early stages. Furthermore, it allows researchers to analyze thousands of genes simultaneously. To acquire knowledge from gene expression data, data mining methods are needed. Due to the rapid evolution of cancer detection and diagnosis techniques, a survey of modern techniques is desirable. This study reviews and provide a detailed description of these techniques. As a result, it helps to enhance existing techniques for cancer detection and diagnosis as well as guiding researchers to develop new approaches.

AB - Cancer is a leading cause of death and majority of cancer patients are diagnosed in the late stages of cancer by using conventional methods. The gene expression microarray technology is applied to detect and diagnose most types of cancers in their early stages. Furthermore, it allows researchers to analyze thousands of genes simultaneously. To acquire knowledge from gene expression data, data mining methods are needed. Due to the rapid evolution of cancer detection and diagnosis techniques, a survey of modern techniques is desirable. This study reviews and provide a detailed description of these techniques. As a result, it helps to enhance existing techniques for cancer detection and diagnosis as well as guiding researchers to develop new approaches.

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PB - Springer Science and Business Media Deutschland GmbH

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Rahman HU, Arif M, Al-Azani S, Ramadan E, Wang G, Chen J et al. A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis. In Balas VE, Balas MM, Jain LC, Jain LC, Jain LC, Shahbazova SN, editors, Soft Computing Applications - Proceedings of the 8th International Workshop Soft Computing Applications, SOFA 2018, Vol. II. Springer Science and Business Media Deutschland GmbH. 2021. p. 35-50. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-52190-5_3

A Survey of Modern Gene Expression Based Techniques for Cancer Detection and Diagnosis

Abstract

Publication series

Bibliographical note

UN SDGs

ASJC Scopus subject areas

Access to Document

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Cite this