C Manzoni
Network Analysis for Complex Neurodegenerative Diseases
Manzoni, C; Lewis, P A; Ferrari, R
Authors
P A Lewis
R Ferrari
Abstract
Biomedicine is witnessing a paradigm shift in the way complex disorders are investigated. In particular, the need for big data interpretation has led to the development of pipelines that require the cooperation of different fields of expertise, including medicine, functional biology, informatics, mathematics and systems biology. This review sits at the crossroad of different disciplines and surveys the recent developments in the use of graph theory (in the form of network analysis) to interpret large and different datasets in the context of complex neurodegenerative diseases. It aims at a professional audience with different backgrounds.
Citation
Manzoni, C., Lewis, P. A., & Ferrari, R. (2020). Network Analysis for Complex Neurodegenerative Diseases. Current Genetic Medicine Reports, https://doi.org/10.1007/s40142-020-00181-z
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 2, 2020 |
Publication Date | Jan 17, 2020 |
Deposit Date | Jan 21, 2020 |
Publicly Available Date | Nov 20, 2020 |
Journal | Current Genetic Medicine Reports |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1007/s40142-020-00181-z |
Public URL | https://rvc-repository.worktribe.com/output/1378917 |
Files
12529_Network-Analysis-for-Complex-Neurodegenerative-Diseases.pdf
(732 Kb)
PDF
You might also like
Dissecting the Phenotype and Genotype of PLA2G6?Related Parkinsonism
(2021)
Journal Article
SORL1 mutation in a Greek family with Parkinson's disease and dementia
(2021)
Journal Article
In silico comparative analysis of LRRK2 interactomes from brain, kidney and lung
(2021)
Journal Article
Vesicle trafficking and pathways to neurodegeneration
(2021)
Journal Article