Article

Unraveling the power of NAP-CNB’s machine learning-enhanced tumor neoantigen prediction

eLife · 2025 · Almudena Mendez-Perez, author Andres M Acosta-Moreno, author Carlos Wert-Carvajal, author Pilar Ballesteros-Cuartero, author Ruben Sánchez-García, author Jose R Macias, author Rebeca Sanz-Pamplona, author Ramon Alemany, author Carlos Oscar Sorzano, author Arrate Munoz-Barrutia, author Esteban Veiga, author ([email protected]) Neeha Zaidi, editor Wafik S El-Deiry, senior_editor

Key facts

Title Unraveling the power of NAP-CNB’s machine learning-enhanced tumor neoantigen prediction
First author Almudena Mendez-Perez, author Andres M Acosta-Moreno, author Carlos Wert-Carvajal, author Pilar Ballesteros-Cuartero, author Ruben Sánchez-García, author Jose R Macias, author Rebeca Sanz-Pamplona, author Ramon Alemany, author Carlos Oscar Sorzano, author Arrate Munoz-Barrutia, author Esteban Veiga, author ([email protected]) Neeha Zaidi, editor Wafik S El-Deiry, senior_editor
Journal eLife
Published Mar 11, 2025
DOI 10.7554/eLife.95010.3
Devices mentioned DEN000008, K022086
Product codes mentioned JCI, KIP, KIT, MVU, NDS, NJT

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  • 1–9 FDA submissions mentioned
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