memo_ms.import_data module

memo_ms.import_data.import_memo_quant_table(path) → pandas.core.frame.DataFrame

Import feature quantification table memo ready

Args:

path (str): Path to a MEMO ready feature quantification table: a csv file (sep = “,”) with feature as rows and samples as columns.

The first column must contain feature’s ID and the header must be “feature_id”.

Returns:

quant_table (DataFrame): A cleaned feature quantification table

memo_ms.import_data.import_msdial_quant_table(path) → pandas.core.frame.DataFrame

Import feature quantification table generated from MS-DIAL and clean it

Args:

path (str): Path to feature quantification table

Returns:

quant_table (DataFrame): A cleaned MS-DIAL feature quantification table

memo_ms.import_data.import_mzmine2_quant_table(path) → pandas.core.frame.DataFrame

Import feature quantification table generated from MzMine 2 and clean it

Args:

path (str): Path to feature quantification table

Returns:

quant_table (DataFrame): A cleaned MzMine2 feature quantification table

memo_ms.import_data.import_xcms_quant_table(path) → pandas.core.frame.DataFrame

Import feature quantification table generated from XCMS and clean it

Args:

path (str): Path to feature quantification table

Returns:

quant_table (DataFrame): A cleaned XCMS feature quantification table

memo_ms.import_data.load_and_filter_from_mgf(path, min_relative_intensity, max_relative_intensity, loss_mz_from, loss_mz_to, n_required) → list

Load and filter spectra from mgf file to prepare for MEMO matrix generation

Returns:

spectrums (list of matchms.spectrum): a list of matchms.spectrum objects