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146090

DNA Sequences Classification with Deep Learning: A Survey

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Last updated: 25 Dec 2024

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Abstract

Deep learning (DL) methods have been
achieving amazing results in solving a variety of
problems in many different fields especially in the area
of big data. With the advances of the big data era in
bioinformatics, applying DL techniques, the DNA
sequences can be classified with accurate and scalable
prediction. The strength of DL methods come from the
development of software and hardware, such as
processing abilities graphical processing units (GPU) for
the hardware and new learning or inference algorithms
for the software, which reducing the main primary
difficulties that faced the training process. In This work,
we start from the previous classification methods such as
alignment methods pointing out the problems, which are
face to use these methods.After that, we demonstrate
deep learning, from artificial neural networks to hyper
parameter tuning, and the most recent state-of-the-art
DL architectures used in DNA classification. After that,
the paper ended with limitations and suggestions.

DOI

10.21608/mjeer.2021.146090

Authors

First Name

Samia M.

Last Name

Abd –Alhalem

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf

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First Name

El-Sayed M.

Last Name

El-Rabaie

MiddleName

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Affiliation

Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf

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Orcid

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First Name

Naglaa. F.

Last Name

Soliman

MiddleName

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Affiliation

Faculty of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

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First Name

Salah Eldin S. E.

Last Name

Abdulrahman

MiddleName

-

Affiliation

Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf

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First Name

Nabil A.

Last Name

Ismail

MiddleName

-

Affiliation

Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf

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City

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Orcid

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First Name

Fathi E.

Last Name

Abd El-samie

MiddleName

-

Affiliation

Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf

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Orcid

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Volume

30

Article Issue

1

Related Issue

21538

Issue Date

2021-01-01

Receive Date

2021-02-03

Publish Date

2021-01-01

Page Start

41

Page End

51

Print ISSN

1687-1189

Online ISSN

2682-3535

Article File

MJEER_Volume 30_Issue 1_Pages 41-51.pdf

PDF . 898.5kB

Link

https://mjeer.journals.ekb.eg/article_146090.html

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https://mjeer.journals.ekb.eg/service?article_code=146090

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Type

Original Article

Type Code

1,088

Publication Type

Journal

Publication Title

Menoufia Journal of Electronic Engineering Research

Publication Link

https://mjeer.journals.ekb.eg/

MainTitle

DNA Sequences Classification with Deep Learning: A Survey

Details

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Article

Created At

22 Jan 2023