Author

R. Sanchez-Garcia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Khalifa· 1 shared A. M. Acosta-Moreno· 1 shared A. Mendez-Perez· 1 shared A. Munoz-Barrutia· 1 shared C. O. S. Sorzano· 1 shared C. Wert-Carvajal· 1 shared D. Wrapp· 1 shared E. Veiga· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBiophysics

A. Khalifa

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2 papers

Recent·Most cited

Unraveling the Power of NAP-CNB's Machine Learning-enhanced Tumor Neoantigen Prediction

A. Mendez-Perez, A. M. Acosta-Moreno, C. Wert-Carvajal, P. Ballesteros-Cuartero, R. Sanchez-Garcia, J. R. Macias, R. Sanz-Pamplona, R. Alemany, C. O. S. Sorzano, A. Munoz-Barrutia, E. Veiga

This study validates a machine learning platform, NAP-CNB, for identifying tumor neoantigens using RNAseq data, showing improved antitumor responses with multiantigen vaccination.

bioRxiv · Nov 22, 2023Immunology

Local computational methods to improve the interpretability and analysis of cryo-EM maps

S. Kaur, J. Gomez-Blanco, S. Adinarayanan, A. Khalifa, R. Sanchez-Garcia, D. Wrapp, J. S. McLellan, K. H. Bui, J. Vargas

The paper introduces local computational methods to improve cryo-EM map interpretability by avoiding over-sharpening and providing local B-factors and occupancy maps.

bioRxiv · May 11, 2020Biophysics