A Review of Random Walk-Based Method for the Identification of Disease Genes and Disease Modules
Traditional techniques for identifying disease genes and disease modules involve high-cost clinical experiments and unpredictable time consumption for analysis. Network-based computational approaches usually focus on the systematic study of molecular networks to predict the associations between dise...
Main Authors: | Tay Xin Hui, Shahreen Kasim, Mohd Farhan Md. Fudzee, Tole Sutikno, Rohayanti Hassan, Izzatdin Abdul Aziz, Mohd Hilmi Hasan, Jafreezal Jaafar, Metab Alharbi, Seah Choon Sen |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10286485/ |
Similar Items
-
A review of random walk-based method for the identification of disease genes and disease modules.
by: Hui, Tay Xin, et al.
Published: (2023) -
An Entropy-Based Directed Random Walk for Cancer Classification Using Gene Expression Data Based on Bi-Random Walk on Two Separated Networks
by: Xin Hui Tay, et al.
Published: (2023-02-01) -
An Entropy-Based Directed Random Walk for Cancer Classification Using Gene Expression Data Based on
Bi-Random Walk on Two Separated Networks
by: Xin Hui Tay, Xin Hui Tay, et al.
Published: (2023) -
An entropy-based directed random walk for cancer classification using gene expression data based on bi-random walk on two separated networks
by: Tay, Xin Hui, et al.
Published: (2023) -
Arete – candidate gene prioritization using biological network topology with additional evidence types
by: Artem Lysenko, et al.
Published: (2017-07-01)