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Computational Models for the Analysis of Omics Data in Neurodegenerative Diseases

Call for Papers

The population of patients with neurodegenerative disorders, including Parkinson’s disease (PD) and Alzheimer’s disease (AD), is growing rapidly. This places large emotional and economic burden on patients and the society. As claimed by World Health Organization (WHO) “there is ample evidence that pinpoints neurological disorders as one of the greatest threats to public health.” Despite the urgent need for effective prevention and treatment strategies, much remains unknown about the disease risk factors and the mechanisms of disease onset and progression.

The analysis of large scale omics data, such as genomics, transcriptomics, and proteomics data, has achieved great successes in identifying treatment targets and relevant biomarkers in many other human diseases. It is also believed to be essential for unravelling the mystery of neurodegenerative disorders and could lead us to the better design of prevention and treatment plans.

In this special issue, we are calling for research papers on innovative computational, statistical, and mathematical methodologies for the analysis of either individual omics data or integrative analysis of multiple types of omics data as well as clinical profiles for novel insights of the underlying biological mechanisms for neurodegenerative diseases. Researches targeting causal factors for the diseases are especially welcome. We also encourage review articles that summarize the state-of-the-art methodologies and computational algorithms in the field.

Potential topics include but are not limited to the following:

  • Methods for integrative omics data analysis in neurodegenerative diseases
  • Methods to dissect the molecular mechanisms of neurodegenerative diseases
  • Causal inference for omics data in neurodegenerative diseases
  • Cell type deconvolution methods in neurodegenerative diseases
  • Network-based analysis methods of omics data in neurodegenerative diseases
  • High efficiency algorithm for large scale data in neurodegenerative diseases
  • Computational and statistical methods and/or packages for data from recently emerged experimental platforms, such as single cell sequencing

Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/cmmm/odnd/.

Submission DeadlineFriday, 23 November 2018
Publication DateApril 2019

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

  • Shaoyu Li, University of North Carolina at Charlotte, Charlotte, USA

Guest Editors

  • Yimei Li, St Jude Children’s Research Hospital, Memphis, USA
  • Xue Wang, Mayo Clinic, Jacksonville, USA
  • Cen Wu, Kansas State University, Manhattan, USA
  • Ming Li, Indiana University at Bloomington, Bloomington, USA