A Survey on Cancer Molecular Subtype Classification using Deep learning

Mehwish Wahid; Ghufran Ahmed; Shahid Hussain; Asad Ahmed Ansari

doi:10.1109/iCoMET57998.2023.10099055

A Survey on Cancer Molecular Subtype Classification using Deep learning

Mehwish Wahid
, Ghufran Ahmed
, Shahid Hussain
, Asad Ahmed Ansari

School of Engineering (Behrend)

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

3 Scopus citations

Abstract

Deep learning(DL) is a sub-field of artificial intelligence that mimics the human brain through computation. It has proven its proficiency in different domains, including healthcare. It has shown promising results in various health-care applications, including cancer classification, prognosis, and molecular sub-typing of cancer. Molecular sub-typing provides biological insights regarding cancer heterogeneity that may lead to personalized medicines. The objective of this review is to discuss and compare the different deep learning models used for molecular subtyping along with the different types of omics data used like gene expression data, RNA sequence data, mRNA, and miRNA. We compared and summarized the different models and data types used for the cancer molecular subtyping in a tabular format.

Original language	English (US)
Title of host publication	2023 4th International Conference on Computing, Mathematics and Engineering Technologies
Subtitle of host publication	Sustainable Technologies for Socio-Economic Development, iCoMET 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350335316
DOIs	https://doi.org/10.1109/iCoMET57998.2023.10099055
State	Published - 2023
Event	4th International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2023 - Sukkur, Pakistan Duration: Mar 17 2023 → Mar 18 2023

Publication series

Name	2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023

Conference

Conference	4th International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2023
Country/Territory	Pakistan
City	Sukkur
Period	3/17/23 → 3/18/23

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Science (miscellaneous)
Artificial Intelligence
Computer Science Applications
Renewable Energy, Sustainability and the Environment
Engineering (miscellaneous)
Automotive Engineering
Computational Mathematics

Access to Document

10.1109/iCoMET57998.2023.10099055

Cite this

Wahid, M., Ahmed, G., Hussain, S., & Ansari, A. A. (2023). A Survey on Cancer Molecular Subtype Classification using Deep learning. In 2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023 (2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iCoMET57998.2023.10099055

Wahid, Mehwish ; Ahmed, Ghufran ; Hussain, Shahid et al. / A Survey on Cancer Molecular Subtype Classification using Deep learning. 2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023).

@inproceedings{00a56a0b8a7e4563b2e2555c59c0f37e,

title = "A Survey on Cancer Molecular Subtype Classification using Deep learning",

abstract = "Deep learning(DL) is a sub-field of artificial intelligence that mimics the human brain through computation. It has proven its proficiency in different domains, including healthcare. It has shown promising results in various health-care applications, including cancer classification, prognosis, and molecular sub-typing of cancer. Molecular sub-typing provides biological insights regarding cancer heterogeneity that may lead to personalized medicines. The objective of this review is to discuss and compare the different deep learning models used for molecular subtyping along with the different types of omics data used like gene expression data, RNA sequence data, mRNA, and miRNA. We compared and summarized the different models and data types used for the cancer molecular subtyping in a tabular format.",

author = "Mehwish Wahid and Ghufran Ahmed and Shahid Hussain and Ansari, \{Asad Ahmed\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 4th International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2023 ; Conference date: 17-03-2023 Through 18-03-2023",

year = "2023",

doi = "10.1109/iCoMET57998.2023.10099055",

language = "English (US)",

series = "2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023",

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

booktitle = "2023 4th International Conference on Computing, Mathematics and Engineering Technologies",

address = "United States",

}

Wahid, M, Ahmed, G, Hussain, S & Ansari, AA 2023, A Survey on Cancer Molecular Subtype Classification using Deep learning. in 2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023. 2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2023, Sukkur, Pakistan, 3/17/23. https://doi.org/10.1109/iCoMET57998.2023.10099055

A Survey on Cancer Molecular Subtype Classification using Deep learning. / Wahid, Mehwish; Ahmed, Ghufran; Hussain, Shahid et al.
2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023).

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

TY - GEN

T1 - A Survey on Cancer Molecular Subtype Classification using Deep learning

AU - Wahid, Mehwish

AU - Ahmed, Ghufran

AU - Hussain, Shahid

AU - Ansari, Asad Ahmed

PY - 2023

Y1 - 2023

N2 - Deep learning(DL) is a sub-field of artificial intelligence that mimics the human brain through computation. It has proven its proficiency in different domains, including healthcare. It has shown promising results in various health-care applications, including cancer classification, prognosis, and molecular sub-typing of cancer. Molecular sub-typing provides biological insights regarding cancer heterogeneity that may lead to personalized medicines. The objective of this review is to discuss and compare the different deep learning models used for molecular subtyping along with the different types of omics data used like gene expression data, RNA sequence data, mRNA, and miRNA. We compared and summarized the different models and data types used for the cancer molecular subtyping in a tabular format.

AB - Deep learning(DL) is a sub-field of artificial intelligence that mimics the human brain through computation. It has proven its proficiency in different domains, including healthcare. It has shown promising results in various health-care applications, including cancer classification, prognosis, and molecular sub-typing of cancer. Molecular sub-typing provides biological insights regarding cancer heterogeneity that may lead to personalized medicines. The objective of this review is to discuss and compare the different deep learning models used for molecular subtyping along with the different types of omics data used like gene expression data, RNA sequence data, mRNA, and miRNA. We compared and summarized the different models and data types used for the cancer molecular subtyping in a tabular format.

UR - https://www.scopus.com/pages/publications/85159031281

UR - https://www.scopus.com/pages/publications/85159031281#tab=citedBy

U2 - 10.1109/iCoMET57998.2023.10099055

DO - 10.1109/iCoMET57998.2023.10099055

M3 - Conference contribution

AN - SCOPUS:85159031281

T3 - 2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023

BT - 2023 4th International Conference on Computing, Mathematics and Engineering Technologies

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2023

Y2 - 17 March 2023 through 18 March 2023

ER -

Wahid M, Ahmed G, Hussain S, Ansari AA. A Survey on Cancer Molecular Subtype Classification using Deep learning. In 2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 4th International Conference on Computing, Mathematics and Engineering Technologies: Sustainable Technologies for Socio-Economic Development, iCoMET 2023). doi: 10.1109/iCoMET57998.2023.10099055

A Survey on Cancer Molecular Subtype Classification using Deep learning

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this