Integrating data and knowledge to identify functional modules of genes: a multilayer approach
Abstract Background Characterizing the modular structure of cellular network is an important way to identify novel genes for targeted therapeutics. This is made possible by the rising of high-throughput technology. Unfortunately, computational methods to identify functional modules were limited by t...
Main Authors: | Lifan Liang, Vicky Chen, Kunju Zhu, Xiaonan Fan, Xinghua Lu, Songjian Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-05-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2800-y |
Similar Items
-
Exploiting Fine-Grained Co-Authorship for Personalized Citation Recommendation
by: Lantian Guo, et al.
Published: (2017-01-01) -
A Novel Computational Approach for Identifying Essential Proteins From Multiplex Biological Networks
by: Bihai Zhao, et al.
Published: (2020-04-01) -
Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification
by: Maryam Zand, et al.
Published: (2020-03-01) -
Quantum walk neural networks with feature dependent coins
by: Stefan Dernbach, et al.
Published: (2019-09-01) -
Knowledge-Guided “Community Network” Analysis Reveals the Functional Modules and Candidate Targets in Non-Small-Cell Lung Cancer
by: Fan Wang, et al.
Published: (2021-02-01)