Author

J. A. Fresno Vara

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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Cancer Biology· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Gamez-Pozo· 3 shared A. Zapater-Moros· 3 shared E. Espinosa· 3 shared G. Prado-Vazquez· 3 shared L. Trilla-Fuertes· 3 shared R. Lopez-Vacas· 3 shared M. Diaz-Almiron· 2 shared P. Zamora· 2 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersCancer Biology

A. Gamez-Pozo

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3 papers

Recent·Most cited

Cancer BiologybioRxivSep 21, 2020

Molecular characterization of triple negative breast cancer formaldehyde-fixed paraffin-embedded samples by data independent acquisition proteomics

S. Garcia-Adrian, L. Trilla-Fuertes, A. Gamez-Pozo…·E. Espinosa

This study uses proteomics to identify molecular subgroups and a prognostic signature in triple negative breast cancer samples, revealing differences in biological processes and potential therapeutic targets.

DOI 10.1002/pmic.202100110

humanproteomics

𝕏 PostBluesky

Cancer BiologybioRxivNov 12, 2018

Computational metabolism modeling predicts risk of distant relapse-free survival in breast cancer patients

L. Trilla-Fuertes, A. Gamez-Pozo, M. Diaz-Almiron…·J. A. Fresno Vara

The paper uses flux balance analysis on proteomics data to identify metabolic pathways associated with prognosis in breast cancer patients.

DOI 10.2217/fon-2018-0698

humanproteomics

𝕏 PostBluesky

Cancer BiologybioRxivMay 18, 2018

Bayesian Networks established functional differences between breast cancer subtypes

L. Trilla-Fuertes, A. Zapater-Moros, A. Gamez-Pozo…·J. A. Fresno Vara

The paper uses Bayesian networks and proteomics data to identify functional differences between breast cancer subtypes, including a new TN-like subtype, and finds a metastasis-related component with prognostic value.

DOI 10.1371/journal.pone.0234752

humanproteomics

𝕏 PostBluesky