A Historical Excursus on the Statistical Validation Parameters for QSAR Models: A Clarification Concerning Metrics and Terminology

By Paola Gramatica, Alessandro Sangion. Journal of Chemical Information and Modeling, 2016

372 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7a0bdecc2fb98c3336bf54ab83b1e4b34963e8d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Carlos Fernandez-Lozano
2. Nereida Rodriguez-Fernandez
3. José Liñares-Blanco
4. Alejandro Pazos
5. Paula Carracedo-Reboredo
6. Victor Maojo
7. Francisco Cedron
8. Adrián Carballal

Citations in the corpus

• A review on machine learning approaches and trends in drug discovery (2021, background): “If the validation results are statistically significant [17], it can be said that a new predictive drug model has been created.”