IDriveGenes: Cancer Driver Genes Prediction Using Machine Learning-Reference-Cited by-同舟云学术

IDriveGenes: Cancer Driver Genes Prediction Using Machine Learning

Published:2023 Issue: Volume:11 Page:28439-28453
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ali Yasir¹^ORCID,Sardaraz Muhammad²^ORCID,Tahir Muhammad²^ORCID,Elmannai Hela³^ORCID,Hamdi Monia³^ORCID,Ksibi Amel⁴^ORCID

Affiliation:

1. Department of Computer Science, Sir Syed Case Institute of Technology, Islamabad, Pakistan

2. Department of Computer Science, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

4. Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10077377.pdf?arnumber=10077377

Reference64 articles.

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3. Enhancing cancer driver gene prediction by protein-protein interaction network

4. Support vector machines on the D-Wave quantum annealer

5. Machine learning methods for prediction of cancer driver genes: a survey paper

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2. Response score-based protein structure analysis for cancer prediction aided by the Internet of Things;Scientific Reports;2024-01-28