Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data

Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data

Abstract Background Deciphering the relationship between clinical responses and gene expression profiles may shed light on the mechanisms underlying diseases. Most existing literature has focused on exploring such relationship from cross-sectional gene expression data. It is likely that the dynamic...

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Bibliographic Details
Main Authors: Fangli Dong, Yong He, Tao Wang, Dong Han, Hui Lu, Hongyu Zhao
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Bioinformatics
Subjects:
Change point
Kernel method
Time-series gene expression data
Co-expression networks
Dynamic information
Model interpretation
Online Access:http://link.springer.com/article/10.1186/s12859-020-03705-0

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