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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Holomics - a user-friendly R shiny application for multi-omics data integration and analysis

Fig. 1

The Holomics workflow. To make use of all the functionality provided by Holomics, a certain workflow should be followed. (1) Input datasets: first, the datasets are uploaded where an eventual pre-filtering/transformation step takes place. (2) Single-omics analysis: afterwards, the single-omics analysis is performed, where key features are identified and the datasets are reduced accordingly. (3) Reduced datasets: the single-omics feature selection process is resulting in reduced datasets. (4) Multi-omics analysis: with these reduced datasets (or with the input datasets from step 1), the multi-omics analyses are applied to identify correlations between 2-n datasets

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