A Novel Human Microbe-Disease Association Prediction Method Based on the Bidirectional Weighted Network
The survival of human beings is inseparable from microbes. More and more studies have proved that microbes can affect human physiological processes in various aspects and are closely related to some human diseases. In this paper, based on known microbe-disease associations, a bidirectional weighted...
Main Authors: | Hao Li, Yuqi Wang, Jingwu Jiang, Haochen Zhao, Xiang Feng, Bihai Zhao, Lei Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2019-04-01
|
Series: | Frontiers in Microbiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fmicb.2019.00676/full |
Similar Items
-
A Bidirectional Label Propagation Based Computational Model for Potential Microbe-Disease Association Prediction
by: Lei Wang, et al.
Published: (2019-04-01) -
Bidirectional Trust-Enhanced Collaborative Filtering for Point-of-Interest Recommendation
by: Jingmin An, et al.
Published: (2023-04-01) -
Bidirectional association between falls and multimorbidity in middle-aged and elderly Chinese adults: a national longitudinal study
by: Ye Tian, et al.
Published: (2024-04-01) -
A Novel Feature Representation for Prediction of Global Horizontal Irradiance Using a Bidirectional Model
by: Sourav Malakar, et al.
Published: (2021-11-01) -
Track Segment Association Method Based on Bidirectional Track Prediction and Fuzzy Analysis
by: Yupeng Cao, et al.
Published: (2022-05-01)