The repository contains Python functions to produce novel graphs for biomedical biosimilarity testing. Visualization enhances the interpretation and storytelling of statistical tests. Each function automatically checks the preliminary assumptions of the tests and is paired with console outputs. The scripts were subdivided into four macro-areas following the scheme in the figure. Users interested in running bio-similarity analysis can download the code and follow the instructions in the referenced manuscript or try the minimal working examples.

equiv_med

Mauro Nascimben
2022-01-01

Abstract

The repository contains Python functions to produce novel graphs for biomedical biosimilarity testing. Visualization enhances the interpretation and storytelling of statistical tests. Each function automatically checks the preliminary assumptions of the tests and is paired with console outputs. The scripts were subdivided into four macro-areas following the scheme in the figure. Users interested in running bio-similarity analysis can download the code and follow the instructions in the referenced manuscript or try the minimal working examples.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11579/180788
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact