add MLE information

Nesvilab · Nov 11, 2024 · e7df17a · e7df17a
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Showing 1 changed file with 4 additions and 3 deletions.
diff --git a/docs/documentation/imputation.md b/docs/documentation/imputation.md
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 Multiple imputation options were provided in FragPipe-Analyst. Perseus-style ** is applied by default for DDA and DIA LFQ data. No imputation is performed for TMT data by default.
 
 -   **Perseus-style**: This method is based on popular missing value imputation procedure implemented in *Perseus* software by MaxQuant team. The missing values are replaced by random numbers drawn from a normal distribution of *1.8* standard deviation down shift and with a width of *0.3* of each sample.
--   **knn:** Missing values replace by nearest neighbor averaging technique
--   **min:** Replaces the missing values by the smallest non-missing value in the data.
--   **zero:** Replaces the missing values by **0**.
+-   **knn:** Missing values are replaced by nearest neighbor averaging technique.
+-   **MLE**: Maximum likelihood-based imputation method using the EM algorithm.
+-   **min**: Replaces the missing values by the smallest non-missing value in the data.
+-   **zero**: Replaces the missing values by **0**.