Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP)
Abstract The evaluation of pharmacological data using machine learning requires high data quality. Therefore, data preprocessing, that is, cleaning analytical laboratory errors, replacing missing values or outliers, and transforming data adequately before actual data analysis, is crucial. Because cu...
Gorde:
Egile Nagusiak: | , , , |
---|---|
Formatua: | Liburua |
Argitaratua: |
Wiley,
2021-11-01T00:00:00Z.
|
Gaiak: | |
Sarrera elektronikoa: | Connect to this object online. |
Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
Internet
Connect to this object online.3rd Floor Main Library
Sailkapena: |
A1234.567 |
---|---|
Alea 1 | Eskuragarri |