Computational and Mathematical Methods in Medicine

Leveraging Complexity and Heterogeneity in Multi-Omics Biomedical Data


Publishing date
01 Jul 2022
Status
Closed
Submission deadline
25 Feb 2022

Lead Editor

1Jiangsu University, Zhenjiang, China

2Stanford University, Stanford, USA

3Geneis Beijing Co. Ltd, Beijing, China

This issue is now closed for submissions.
More articles will be published in the near future.

Leveraging Complexity and Heterogeneity in Multi-Omics Biomedical Data

This issue is now closed for submissions.
More articles will be published in the near future.

Description

The vast amounts of multi-omics data have brought unprecedented opportunities for biomedical data discovery. However, the complexity and heterogeneity of the data also poses great challenges for fast yet accurate analysis. Multi-omics datasets are usually organized in two board ways, vertical or horizontal, depending on the specific question of interest.

In the vertical setting, multiple technologies are used to generate data from different aspects of the research question, including, but not limited to, genome, epigenome, transcriptome, proteome, metabolome, or microbiome. The major challenges in analyzing these complex multi-layered data modalities include the identification of interactions within and across data modalities, as well as the construction and interpretation of networks. In the horizontal setting, multiple datasets are generated from one or two technologies for a specific research question. These datasets are typically from diverse populations across the world, representing a high degree of real-world biological and technical heterogeneity. The major challenges in analyzing these heterogenous multi-cohort datasets include data integration, meta-analysis, and identification of the most robust signals encompassing data heterogeneity. The vertical and horizontal structures correspond to the complexity and heterogeneity of the multi-omics data.

The aim of this Special Issue is to provide investigators with a platform to share their research relating to leveraging complexity and heterogeneity in multi-omics data for biomedical data discovery, which can be applied for better diagnosis, treatment, prognosis, and prevention of human diseases, in the future era of precision medicine.

Potential topics include but are not limited to the following:

  • Algorithms, methods, frameworks, and best practices for multi-omics data analysis, addressing the vertical complexity and horizontal heterogeneity aspects in data analysis
  • Methods for identifying interactions between different data modalities
  • Benchmarks of network construction methods
  • Review of meta-analysis frameworks
  • Methods for integrating biomedical imaging data, such as computed tomography or hematoxylin-eosin staining
  • Methods for integrating non-imaging data, such as next generation sequencing data
  • Methods for merging data from different batches, especially for data with strong batch effects, such as single cell RNA sequencing data
  • Application of algorithms, methods, or frameworks for disease diagnosis, treatment, prognosis, and prevention
  • Multi-omics profiling and network identification of specific diseases
  • Meta-analyses of multi-cohort datasets for specific diseases
  • Experimental validation of biomarkers identified from multi-omics data analysis
  • Disease diagnosis and prognosis prediction from imaging and non-imaging data analysis
  • Clinical applications or validations of findings from multi-omics data analysis

Articles

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CASC1 Expression in Bladder Cancer Is Regulated by Exosomal miRNA-150: A Comprehensive Pan-Cancer and Bioinformatics Study

Huarong Luo | Chengdang Xu | ... | Tianru Wang
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Chelerythrine Chloride Inhibits Stemness of Melanoma Cancer Stem-Like Cells (CSCs) Potentially via Inducing Reactive Oxygen Species and Causing Mitochondria Dysfunction

Hong Li | Mei He | ... | Xuewen Xu
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  • - Article ID 7858925
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Integrating Network Pharmacology and Experimental Validation to Explore the Key Mechanism of Gubitong Recipe in the Treatment of Osteoarthritis

Guang-yao Chen | Xiao-yu Liu | ... | Qing-wen Tao
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  • - Article ID 3472413
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Meta-Analysis of Dynamic Electrocardiography in the Diagnosis of Myocardial Ischemic Attack of Coronary Heart Disease

Wenting Ruan
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  • - Volume 2022
  • - Article ID 6411935
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The Value of Transrectal Ultrasound in the Preoperative Diagnosis of Complex Anal Fistula (CAF): Based on a Retrospective Cohort Study

Chen Zhang | Xu Zhang | ... | Hexia Li
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  • - Article ID 1272729
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The Relationship between Expression of Nuclear Factor I and the Progressive Occurrence of Diabetic Retinopathy

Han Wang | Yufei Sun | ... | Wanming Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 9765884
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Effects of Metoprolol Succinate Combined with Entresto on Cardiac Function Indexes and Coagulation Function in Patients with Congestive Heart Failure

Yuanyuan Ding | Zufa Wei | ... | Ling Zhu
  • Special Issue
  • - Volume 2022
  • - Article ID 4430345
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Acupuncture-Moxibustion Combined with Rehabilitation Training Is Conducive to Improving the Curative Effect, Cognitive Function, and Daily Activities of Patients with Cerebral Infarction

Ding Zhang | Liemi Huang | ... | Min Ding
  • Special Issue
  • - Volume 2022
  • - Article ID 8610517
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The Nursing Effect of PRECEDE Management on Occupational Exposure to Surgical Smoke: Based on a Randomized Controlled Study

Hong Ye | Dan Xin | Xuefei Hu
  • Special Issue
  • - Volume 2022
  • - Article ID 3021320
  • - Research Article

Artificial Intelligence Technology Combined with Ultrasound-Guided Needle Knife Interventional Treatment of PF: Improvement of Pain, Fascia Thickness, and Ankle-Foot Function in Patients

Silai Zhu | Yuli Niu | ... | Yong Li
Computational and Mathematical Methods in Medicine
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