Biological Sequence Classification Using Deep Learning Architectures

被引：0

作者：

Sivasubramanian, Arrun ^{[1
]}

Prashanth, V. R. ^{[1
]}

Kumar, S. Sachin ^{[1
]}

Soman, K. P. ^{[1
]}

机构：

[1] Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Ctr Computat Engn & Networking, Coimbatore, Tamil Nadu, India

来源：

INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING AND COMMUNICATIONS, ICICC 2022, VOL 1 | 2023年 / 473卷

关键词：

Bio sequence; Perceptron; CNN; BiLSTM; GRU; SARS; SARS-CoV-2; MERS;

D O I：

10.1007/978-981-19-2821-5_44

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Finding similar biological sequences to categorize into respective families is an important task. The present works attempt to use machine learning-based approaches to find the family of a given sequence. The first task in this direction is to convert the sequences to vector representations and then train a model using a suitable machine learning architecture. The second task is to find which family the sequence belongs to. In this work, deep learning-based architectures are proposed to do the task. A comparative study on how effective various deep learning architectures for this problem is also discussed in this work.

引用

下载

页码：529 / 537

页数：9

共 50 条

[1] Deep Learning Architectures for DNA Sequence Classification
Lo Bosco, Giosue
Di Gangi, Mattia Antonino
FUZZY LOGIC AND SOFT COMPUTING APPLICATIONS, WILF 2016, 2017, 10147 : 162 - 171
[2] Acoustic Scene Classification using Deep Learning Architectures
Spoorthy, V
Mulimani, Manjunath
Koolagudi, Shashidhar G.
2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2021,
[3] Radio Modulation Classification Using Deep Learning Architectures
Pijackova, Kristyna
Gotthans, Tomas
2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA), 2021,
[4] Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy
Mohanty, Cheena
Mahapatra, Sakuntala
Acharya, Biswaranjan
Kokkoras, Fotis
Gerogiannis, Vassilis C.
Karamitsos, Ioannis
Kanavos, Andreas
SENSORS, 2023, 23 (12)
[5] An Analysis of Audio Classification Techniques using Deep Learning Architectures
Imran, Mohammed Safwat
Rahman, Afia Fahmida
Tanvir, Sifat
Kadir, Hamim Hassan
Iqbal, Junaid
Mostakim, Moira
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021), 2021, : 805 - 812
[6] layerUMAP: A tool for visualizing and understanding deep learning models in biological sequence classification using UMAP
Jing, Runyu
Xue, Li
Li, Menglong
Yu, Lezheng
Luo, Jiesi
ISCIENCE, 2022, 25 (12)
[7] Classification of Turkish and Balkan House Architectures Using Transfer Learning and Deep Learning
Yonder, Veli Mustafa
Ipek, Emre
Cetin, Tarik
Cavka, Hasan Burak
Apaydin, Mehmet Serkan
Dogan, Fehmi
IMAGE ANALYSIS AND PROCESSING - ICIAP 2023 WORKSHOPS, PT II, 2024, 14366 : 398 - 408
[8] Viral sequence classification using deep learning algorithms
Nieuwenhuijse, David
Munnink, Bas Oude
Phan, My
Koopmans, Marion
VIRUS EVOLUTION, 2019, 5 : S19 - S19
[9] Tomato Plant Disease Classification Using Deep Learning Architectures: A Review
Shruthi, U.
Nagaveni, V
Arvind, C. S.
Sunil, G. L.
PROCEEDINGS OF SECOND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND COMMUNICATION SYSTEMS, ICACECS 2021, 2022, : 153 - 169
[10] Classification of Chromosomal DNA Sequences Using Hybrid Deep Learning Architectures
Du, Zhihua
Xiao, Xiangdong
Uversky, Vladimir N.
CURRENT BIOINFORMATICS, 2020, 15 (10) : 1130 - 1136

← 1 2 3 4 5 →