Introduction
Available Data Transformations
pyXLMS currently features several different functions to summarize, validate, and transform your data:
- Result summaries, dataframes, and utility functions
- Uniqueness and aggregation
- False-Discovery-Rate estimation and validation
- Annotating estimated False-Discovery-Rate
- Filtering
- Annotation of protein accessions and protein crosslink positions
- Intersections of results
API Summary
Here’s a quick summary of the available functions, their page links and their API documentations:
| Function Name | Page | API Docs |
|---|---|---|
transform.aggregate() | link | link |
transform.unique() | link | link |
transform.filter_crosslink_type() | link | link |
transform.filter_peptide_pair_distribution() | link | link |
transform.filter_protein_distribution() | link | link |
transform.filter_proteins() | link | link |
transform.filter_target_decoy() | link | link |
transform.from_dataframe() | link | link |
transform.intersection() | link | link |
transform.fasta_title_to_accession() | link | link |
transform.reannotate_positions() | link | link |
transform.summary() | link | link |
transform.targets_only() | link | link |
transform.to_dataframe() | link | link |
transform.to_proforma() | link | link |
transform.assert_data_type_same() | link | |
transform.get_available_keys() | link | |
transform.modifications_to_str() | link | |
transform.validate() | link | link |
transform.annotate_fdr() | link | link |
Last updated on