Presentation synopsis

[michbur]

1. Aim: benchmark the quality of missing data imputation and find if imputing data is necessary for decision-making based on the metabolomics data.
   2. Scheme: https://viewer.diagrams.net/?page-id=_Gg_AfVaFpc6PrHJ8jsU&highlight=0000ff&edit=_blank&layers=1&nav=1&page-id=_Gg_AfVaFpc6PrHJ8jsU#G1z9yDcNV2doGwIQaU7gxAmNQtFy5LXXCc
2. Types of missing values.
3. Considered imputation methods.
4. "Safe imputation" https://github.com/michbur/metabolomics-missing-value-imputation/blob/main/functions/imputing.R#L68
5. Problems:
   7. How to measure the impact on modeling?
   8. Is there a single measure incorporating the quality of imputation and the speed of the imputation?

[KrystynaGrzesiak]

presentation is here
https://docs.google.com/presentation/d/1LnPCt__aPN2g3GCmjwIsf7TBwmpTDRjzN9DNxafqM5I/edit?usp=sharing