Analysis for Disease Gene Association Using Machine Learning

Analysis for Disease Gene Association Using Machine Learning

To recognize the basis of disease, it is essential to determine its underlying genes. Understanding the association between underlying genes and genetic disease is a fundamental problem regarding human health. Identification and association of genes with the disease require time consuming and expens...

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Bibliographic Details
Main Authors: Misba Sikandar, Rafia Sohail, Yousaf Saeed, Asim Zeb, Mahdi Zareei, Muhammad Adnan Khan, Atif Khan, Abdallah Aldosary, Ehab Mahmoud Mohamed
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Disease gene association
computational approaches
privacy
topological features
biological features
protein-protein interaction network (PPIN)
Online Access:https://ieeexplore.ieee.org/document/9181557/

Internet

https://ieeexplore.ieee.org/document/9181557/

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