Reproducible cleaning of biomedical laboratory data using methods of visualization, error correction and transformation implemented as interactive R-notebooks.
A graphical data preprocessing toolbox, named “pguIMP”, that includes a fixed sequence of preprocessing steps to enable error-free data preprocessing interactively. By implementing contemporary data processing methods including machine learning-based imputation procedures, the creation of corrected and cleaned bioanalytical datasets is ensured, which preserve data structures such as clusters better than resulting with classical methods.
shiny application object
Sebastian Malkusch, firstname.lastname@example.org
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.