Network Diffusion Promotes the Integrative Analysis of Multiple Omics
The development of integrative methods is one of the main challenges in bioinformatics. Network-based methods for the analysis of multiple gene-centered datasets take into account known and/or inferred relations between genes. In the last decades, the mathematical machinery of network diffusion—also...
Main Authors: | Noemi Di Nanni, Matteo Bersanelli, Luciano Milanesi, Ettore Mosca |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-02-01
|
Series: | Frontiers in Genetics |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2020.00106/full |
Similar Items
-
isma: an R package for the integrative analysis of mutations detected by multiple pipelines
by: Noemi Di Nanni, et al.
Published: (2019-02-01) -
The Role of Omics Approaches to Characterize Molecular Mechanisms of Rare Ovarian Cancers: Recent Advances and Future Perspectives
by: Yashwanth Subbannayya, et al.
Published: (2021-10-01) -
Integration of artificial intelligence and multi-omics in kidney diseases
by: Xu-Jie Zhou, et al.
Published: (2023-01-01) -
Editorial: Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
by: Tao Zeng, et al.
Published: (2020-02-01) -
MiBiOmics: an interactive web application for multi-omics data exploration and integration
by: Johanna Zoppi, et al.
Published: (2021-01-01)