Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression

Autor: Themis Exarchos, Panayiotis Vlamos, Marios G Krokidis
Rok vydání: 2021
Předmět:
Parkinson's disease
Computer science
data analysis
02 engineering and technology
Disease
Computational biology
Data-driven
Alzheimer Disease
0502 economics and business
Clinical information
QA1-939
0202 electrical engineering
electronic engineering
information engineering
medicine
Humans
Biomarker Analysis
neurogenerative diseases
Applied Mathematics
05 social sciences
Disease progression
Reproducibility of Results
biomarkers
Neurodegenerative Diseases
Parkinson Disease
General Medicine
Omics
medicine.disease
omics
Computational Mathematics
Modeling and Simulation
parkinson's disease
alzheimer's disease
020201 artificial intelligence & image processing
Identification (biology)
neuronal loss
General Agricultural and Biological Sciences
TP248.13-248.65
Mathematics
050203 business & management
Biotechnology
Zdroj: Mathematical Biosciences and Engineering, Vol 18, Iss 2, Pp 1813-1832 (2021)
ISSN: 1551-0018
DOI: 10.3934/mbe.2021094
Popis: The complexity of biological systems suggests that current definitions of molecular dysfunctions are essential distinctions of a complex phenotype. This is well seen in neurodegenerative diseases (ND), such as Alzheimer's disease (AD) and Parkinson's disease (PD), multi-factorial pathologies characterized by high heterogeneity. These challenges make it necessary to understand the effectiveness of candidate biomarkers for early diagnosis, as well as to obtain a comprehensive mapping of how selective treatment alters the progression of the disorder. A large number of computational methods have been developed to explain network-based approaches by integrating individual components for modeling a complex system. In this review, high-throughput omics methodologies are presented for the identification of potent biomarkers associated with AD and PD pathogenesis as well as for monitoring the response of dysfunctional molecular pathways incorporating multilevel clinical information. In addition, principles for efficient data analysis pipelines are being discussed that can help address current limitations during the experimental process by increasing the reproducibility of benchmarking studies.
Databáze: OpenAIRE
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