TAMPOR

TAMPOR applies a tunable median polish of ratios to correct technical artifacts and harmonize multi-batch -omics analyte abundance data for integrative and systems-level analyses.

Key Features:

• Batch Effect Correction: Adjusts for batch effects and other technical sources of variance across multi-batch, site-specific cohorts by operating on analyte abundance ratios.
• Data Agglomeration: Aggregates multiple datasets into a unified analyte abundance data matrix for downstream systems biology analyses.
• Tunability: Provides tunable parameters to accommodate different -omics data types and dataset-specific defects prior to analysis.
• Versatility Across Platforms: Operates across diverse proteomic datasets and analytical methods to harmonize data from different platforms.
• Quality Control Assessment: Enables comparisons of quality-control metrics and sources of variance before and after correction to quantify reduction of unwanted variance.

Scientific Applications:

• Proteomics: Harmonizes proteomic datasets from different batches or sites to improve comparability for downstream analyses.
• Systems Biology: Facilitates systems biology analyses by providing cleaned and harmonized data for exploring biological processes at the systems level.
• Comparative Studies: Supports comparative analyses across analytical approaches by harmonizing data from different platforms.

Methodology:

TAMPOR employs a median polish algorithm on analyte abundance ratios to correct batch effects and other unwanted sources of variance while focusing on medians to reduce the influence of outliers.