Supplementary Methods, Table 1 from Reconsidering the Paradigm of Cancer Immunotherapy by Computationally Aided Real-time Personalization

Autor: Zvia Agur, Stanimir Vuk-Pavlović, Moran Elishmereni, Karin Halevi–Tobias, Yuri Kogan
Rok vydání: 2023
DOI: 10.1158/0008-5472.22396031
Popis: PDF file - 201K, The contents of the document: 1. Model equations for the vaccine and the maturing DCs 2. Formal description of the algorithm for in-treatment therapy personalization 3. Success-of-validation criteria 4. Model comparison grade and parameters for SOV criterion 5. Selecting the best performing SOV criterion 6. Table S1
Databáze: OpenAIRE