Figure 1
Schematic of the benchmark workflow. Three multi-omics datasets, covering distinct medical applications, were selected. A reference simulation scenario was designed using SNR and sparsity levels estimated from real-world datasets. A total of 14 alternatives were also generated by modifying class imbalance, SNR, dimensionality, relative importance of effects, etc. A selection of six integrative approaches, representative of existing methods, were evaluated on both real-world and simulated data based using MCC.

Schematic of the benchmark workflow. Three multi-omics datasets, covering distinct medical applications, were selected. A reference simulation scenario was designed using SNR and sparsity levels estimated from real-world datasets. A total of 14 alternatives were also generated by modifying class imbalance, SNR, dimensionality, relative importance of effects, etc. A selection of six integrative approaches, representative of existing methods, were evaluated on both real-world and simulated data based using MCC.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close