MultiBaC

MultiBaC corrects batch effects from multiomic datasets distributed across different labs or data acquisition events, enabling the integration of different omics generated within separate batches when at least one common omic data type is included across all batches.

Key Features:

• Multiomic batch effect correction: MultiBaC is the first batch effect correction algorithm specifically developed for multiomics datasets.
• Cross-batch integration: MultiBaC removes batch effects across different omics generated within separate batches.
• Common omic requirement: MultiBaC requires at least one common omic data type to be included in all batches considered for correction.

Scientific Applications:

• Multiomic data integration: MultiBaC enables the correction and integration of multiomic datasets acquired from different laboratories or data acquisition events.

Methodology:

Batch effect correction algorithm for multiomics datasets.