Normalizes maps of one consensusXML file
Web Documentation for ConsensusMapNormalizer
Version of the tool that generated this parameters file.
The normalization algorithm that is applied. 'robust_regression' scales each map by a fator computed from the ratios of non-differential background features (as determined by the ratio_threshold parameter), 'quantile' performs quantile normalization, 'median' scales all maps to the same median intensity, 'median_shift' shifts the median instead of scaling (WARNING: if you have regular, log-normal MS data, 'median_shift' is probably the wrong choice. Use only if you know what you're doing!)
Only for 'robust_regression': the parameter is used to distinguish between non-outliers (ratio_threshold < intensity ratio < 1/ratio_threshold) and outliers.
Use only features with accessions (partially) matching this regular expression for computing the normalization factors. Useful, e.g., if you have known house keeping proteins in your samples. When this parameter is empty or the regular expression matches the empty string, all features are used (even those without an ID). No effect if quantile normalization is used.
Use only features with description (partially) matching this regular expression for computing the normalization factors. Useful, e.g., if you have known house keeping proteins in your samples. When this parameter is empty or the regular expression matches the empty string, all features are used (even those without an ID). No effect if quantile normalization is used.
Name of log file (created only when specified)
Sets the debug level
Sets the number of threads allowed to be used by the TOPP tool
Disables progress logging to command line
Overwrite tool specific checks.
Enables the test mode (needed for internal use only)