mecfs_bio.build_system.task.pipes

Pipes are composable DataFrame transformations.

Modules:

• add_average_pipe –
• cast_pipe –
• composite_pipe –
• compute_beta_pipe –
• compute_mlog10p_pipe –
• compute_p_from_beta_se –
• compute_p_pipe –
• compute_se_pipe –

  Compute standard error in GWAS summary statistics.

• concat_str_pipe –

  Pipe to concatenate multiple string columns

• data_processing_pipe –
• drop_col_pipe –
• drop_null_pipe –
• duckdb_mem_limit_pipe –
• effective_n_from_cohort_string_pipe –

  Pipe that derives a per-variant effective sample size for a case/control

• filter_rows_by_info_score –
• filter_rows_by_min –
• filter_rows_by_min_in_col –
• filter_rows_by_value –
• format_numbers_pipe –

  Pipe to format a column of floating point values

• head_pipe –
• heritability_conversion_pipe –
• identity_pipe –
• join_with_memory_table_pipe –
• log_markdown_pipe –
• max_with_constant_pipe –
• move_col_to_front_pipe –
• pivot_pipe –
• rename_col_by_position_pipe –
• rename_col_pipe –
• replace_pipe –
• scale_col_pipe –
• select_pipe –
• set_col_pipe –
• shifted_log_pipe –
• sort_pipe –
• str_lowercase_pipe –
• str_replace_pipe –
• str_split_col –
• str_split_exact_col –
• to_polars_pipe –
• transpose_pipe –
• uniquepipe –
• unnest_pipe –
• unpivot_pipe –

  Pipe to convert dataframe from wide to long format.

• winsorize_all –