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@rl3328 rl3328 commented Apr 24, 2025

  1. I added the auto_decision step to the export pipeline.

  2. I reordered parts of the code and added the conditional_effect column after the process_top_loci step. This change addresses the issue introduced by automated QC, where some blocks have top_loci but no credible sets (CS) across all methods or coverage levels.

  3. I modified some documentations in mnm_postprocessing.ipynb.(container, pipeline name, etc.)

  4. I added a column to indicate the finemap_model used in the final exported top loci table.

  5. Fixed a typo when I exporting Aging finemapping results.
    To do:

  6. To output diagnostic table for ColocBoost iteration.

  7. To integrate this updated pipeline into mnm_postprocessing.ipynb

I might fix auto_decision() function in pecotmr for susie_rss, since there's NA in z and p_value for the variants in diagnostics for PD, which is multi_ancestry. There might be missing variants in LD panel. Not sure if this is the reason. Will look into it further...

@rl3328 rl3328 changed the title Create a pipeline to export finemapping results with automated QC Create a pipeline to export finemapping results with automated QC(WIP) Jun 8, 2025
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