Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease-Reference-Cited by-同舟云学术

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Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease

Published:2022-09 Issue: Volume:78 Page:103909
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Pathak Vikas^ORCID,Nanda Satyasai Jagannath,Joshi Amit Mahesh^ORCID,Sahu Sitanshu Sekhar

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference37 articles.

1. Analysis of therapeutic targets for SARS-CoV-2 and discovery of potential drugs by computational methods;Wu;Acta Pharm. Sin. B,2020

2. asyBand: A Wearable for safety-aware mobility during pandemic outbreak;Tripathy;IEEE Consum. Electron. Mag.,2020

3. Smart healthcare for diabetes: A COVID-19 perspective;Joshi,2020

4. COVID-19 diagnosis from routine blood tests using artificial intelligence techniques;Rikan;Biomed. Signal Process. Control,2021

5. X-ray and CT-scan-based automated detection and classification of covid-19 using convolutional neural networks (CNN);Thakur;Biomed. Signal Process. Control,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Graphene-Based Wearable Temperature Sensors: A Review;Nanomaterials;2023-08-14

2. An Integrated Approach for Designing an Anti-Notch Filter by Implementing a Hybrid Bioinspired Algorithm Incorporated with a Modified Error Function for Classifying Coding Regions in Gene Sequences;2023

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