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Multi-omics studies have become increasingly common in current biomedical research. Many approaches have been developed over the past few years for multi-omics analysis. However, most of them are difficult to use (i.e. requiring programming skills) and difficult to understand (i.e. based on multivariate statistics). The main objective of developing OmicsAnalyst is to couple powerful visualization (heatmaps, networks and scatter plot) with well-established methods (>12 implemented) to support intuitive multi-omics data analysis and interpretation. |
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| Correlation analysis |
| Interactive 3D network showing association/correlation between features. |
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| Dual-heatmap visualization |
| Visually explore and analyze regions showing coordinated patterns of change. |
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| Multivariate statistics |
| Connecting sample space and feature space within reduced dimensions. |
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| DIABLO |
| Dimensionally reduced sample and feature space from DIABLO algroithm, sample labels are displayed instead of nodes. |
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| Correlation analysis |
| Correlation network displayed using concentric circle layout, showcasing relationships between miRNAs and genes |
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| mbPCA |
| Dimensionally reduced sample and feature space from mbPCA algroithm, showing inherent clusters based on kernel densities. |
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