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BMC Cancer|April 16, 2020
Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancerLucía Trilla-Fuertes, Angelo Gámez-Pozo, Elena López-Camacho, et al.
Scientific Reports|May 12, 2019
Melanoma proteomics suggests functional differences related to mutational statusLucía Trilla-Fuertes, Angelo Gámez-Pozo, Guillermo Prado-Vázquez, et al.
Scientific Reports|February 9, 2019
A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognosesGuillermo Prado-Vázquez, Angelo Gámez-Pozo, Lucía Trilla-Fuertes, et al.
Plos One|February 29, 2020
miRNA profiling in renal carcinoma suggest the existence of a group of pro-angionenic tumors in localized clear cell renal carcinomaLucía Trilla-Fuertes, Natalia Miranda, Daniel Castellano, et al.
Ecancermedicalscience|February 23, 2019
Proteomics characterisation of central nervous system metastasis biomarkers in triple negative breast cancerKaterin Rojas L, Lucía Trilla-Fuertes, Angelo Gámez-Pozo, et al.
Plos One|June 12, 2020
Bayesian networks established functional differences between breast cancer subtypesLucía Trilla-Fuertes, Angelo Gámez-Pozo, Jorge M Arevalillo, et al.
Implementation Science : IS|December 11, 2025
What scientific inferences can be made with randomized implementation rollout trialsC Hendricks Brown, J D Smith, Tamara Haegerich, et al.
Journal of Acquired Immune Deficiency Syndromes (1999)|May 16, 2013
A computational future for preventing HIV in minority communities: how advanced technology can improve implementation of effective programsC Hendricks Brown, David C Mohr, Carlos G Gallo, et al.
Journal of Racial and Ethnic Health Disparities|October 31, 2020
Vital Voices: HIV Prevention and Care Interventions Developed for Disproportionately Affected Communities by Historically Underrepresented, Early-Career ScientistsMadeline Y Sutton, Omar Martinez, Bridgette M Brawner, et al.
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