Loading...
Please wait, while we are loading the content...
Similar Documents
Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources
| Content Provider | MDPI |
|---|---|
| Author | Eicher, Tara Kinnebrew, Garrett Patt, Andrew Spencer, Kyle Ying, Kevin Ma, Qin Machiraju, Raghu Mathe, Ewy |
| Copyright Year | 2020 |
| Description | As researchers are increasingly able to collect data on a large scale from multiple clinical and omics modalities, multi-omics integration is becoming a critical component of metabolomics research. This introduces a need for increased understanding by the metabolomics researcher of computational and statistical analysis methods relevant to multi-omics studies. In this review, we discuss common types of analyses performed in multi-omics studies and the computational and statistical methods that can be used for each type of analysis. We pinpoint the caveats and considerations for analysis methods, including required parameters, sample size and data distribution requirements, sources of a priori knowledge, and techniques for the evaluation of model accuracy. Finally, for the types of analyses discussed, we provide examples of the applications of corresponding methods to clinical and basic research. We intend that our review may be used as a guide for metabolomics researchers to choose effective techniques for multi-omics analyses relevant to their field of study. |
| Starting Page | 202 |
| e-ISSN | 22181989 |
| DOI | 10.3390/metabo10050202 |
| Journal | Metabolites |
| Issue Number | 5 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-05-15 |
| Access Restriction | Open |
| Subject Keyword | Metabolites Biochemical Research Multi-omics Integration Dimensionality Reduction Co-regulation Pathway Enrichment Clustering Machine Learning Deep Learning Network Analysis Visualization Biological Pathways |
| Content Type | Text |
| Resource Type | Article |
